%%% -*-BibTeX-*-
%%% ====================================================================
%%%  BibTeX-file{
%%%     author          = "Nelson H. F. Beebe",
%%%     version         = "4.00",
%%%     date            = "10 July 2014",
%%%     time            = "07:22:00 MDT",
%%%     filename        = "s-plus.bib",
%%%     address         = "University of Utah
%%%                        Department of Mathematics, 110 LCB
%%%                        155 S 1400 E RM 233
%%%                        Salt Lake City, UT 84112-0090
%%%                        USA",
%%%     telephone       = "+1 801 581 5254",
%%%     FAX             = "+1 801 581 4148",
%%%     URL             = "http://www.math.utah.edu/~beebe",
%%%     checksum        = "60543 24029 99241 1037889",
%%%     email           = "beebe at math.utah.edu, beebe at acm.org,
%%%                        beebe at computer.org (Internet)",
%%%     codetable       = "ISO/ASCII",
%%%     keywords        = "bibliography; BibTeX; Bioconductor; R; S;
%%%                        S-Plus; statistics; Sweave",
%%%     license         = "public domain",
%%%     supported       = "yes",
%%%     docstring       = "This is a bibliography on the S and S-Plus
%%%                        statistics programming languages.
%%%
%%%                        The vendor World-Wide Web site is now at
%%%
%%%                            http://www.insightful.com/splus
%%%
%%%                        Recently, a freely-distributable
%%%                        reimplementation of S-Plus, called R, has
%%%                        been developed; for details, see the
%%%                        World-Wide Web locations
%%%
%%%                            http://lib.stat.cmu.edu/R
%%%                            http://lib.stat.cmu.edu/R/CRAN/doc/FAQ/R-FAQ.html
%%%
%%%                        There is also a useful site at
%%%
%%%                            http://franz.stat.wisc.edu
%%%
%%%                        which ``offers North American mirrors of
%%%                        several sites of interest to statisticians:
%%%
%%%                            Comprehensive R Archive Network (CRAN)
%%%
%%%                                R, a language described by its
%%%                                creators Ross Ihaka and Robert
%%%                                Gentleman as `not unlike S', is
%%%                                freely available under the terms of
%%%                                the GNU Public License. The source
%%%                                for Unix, Windows or Macintosh
%%%                                systems is available. Compiled
%%%                                binaries are available for Debian
%%%                                Linux, RedHat Linux, Windows or
%%%                                Macintosh systems.
%%%
%%%                            Modern Applied Statistics with S-PLUS
%%%
%%%                                Description and support files for the
%%%                                second edition of the classic book by
%%%                                Bill Venables and Brian Ripley.
%%%
%%%                            Emacs Speaks Statistics
%%%
%%%                                An enhanced and extended version of
%%%                                S-mode for GNU emacs or xemacs.
%%%
%%%                            PSPP
%%%
%%%                                A free, compatible replacement for
%%%                                the statistical package SPSS. PSPP
%%%                                was originally called Fiasco.
%%%
%%%                        Local Projects:
%%%
%%%                            Mixed-Effects Models in S
%%%
%%%                            A library for S-PLUS (and perhaps other
%%%                            dialects of S) developed by Jose Pinheiro
%%%                            and Douglas Bates.
%%%
%%%                            Current Index to Statistics Client/Server
%%%
%%%                            Software for client/server access to the
%%%                            Current Index to Statistics.''
%%%
%%%                        There are electronic archives of S-related
%%%                        reports at:
%%%
%%%                            http://netlib.att.com/cm/ms/departments/sia/doc/index.html
%%%                            http://netlib.att.com/cm/ms/departments/sia/jmc
%%%                            http://netlib.bell-labs.com/cm/ms/departments/sia/project/trellis/index.html
%%%
%%%                        There is a frequently-asked questions list at:
%%%
%%%                            http://www.stat.mat.ethz.ch/S-FAQ
%%%
%%%                        There is an S-News mailing list at
%%%
%%%                            s-news at utstat.toronto.edu
%%%
%%%                        Subscription requests should go to
%%%
%%%                            s-news-request at utstat.toronto.edu
%%%
%%%                        At version 4.00, the year coverage looked
%%%                        like this:
%%%
%%%                             1977 (   1)    1990 (   1)    2003 (  19)
%%%                             1978 (   0)    1991 (   2)    2004 (  16)
%%%                             1979 (   0)    1992 (   5)    2005 (  42)
%%%                             1980 (   0)    1993 (  19)    2006 (  33)
%%%                             1981 (   1)    1994 (  13)    2007 (  54)
%%%                             1982 (   0)    1995 (  21)    2008 (  61)
%%%                             1983 (   1)    1996 (   8)    2009 (  85)
%%%                             1984 (   2)    1997 (  14)    2010 (  79)
%%%                             1985 (   4)    1998 (  10)    2011 ( 108)
%%%                             1986 (   1)    1999 (   8)    2012 ( 111)
%%%                             1987 (   1)    2000 (   9)    2013 (  58)
%%%                             1988 (   1)    2001 (   9)    2014 (  30)
%%%                             1989 (   0)    2002 (  14)
%%%
%%%                             Article:        587
%%%                             Book:           198
%%%                             InProceedings:    9
%%%                             Manual:          25
%%%                             MastersThesis:    3
%%%                             Misc:             3
%%%                             PhdThesis:        1
%%%                             Proceedings:      8
%%%                             TechReport:       7
%%%
%%%                             Total entries:  841
%%%
%%%                        This bibliography has been collected from
%%%                        the author's personal bibliography files,
%%%                        from the very large computer science
%%%                        bibliography collection on ftp.ira.uka.de
%%%                        in /pub/bibliography to which many people
%%%                        of have contributed, and from several
%%%                        Internet-accessible library catalogs,
%%%                        notably those of the University of
%%%                        California, Stanford University, Library
%%%                        of Congress, and OCLC.
%%%
%%%                        At version 1.05 [05-Feb-1996], a search of
%%%                        the OCLC Article1st database resulted in
%%%                        the addition of only 5 new references; it
%%%                        appears that relatively little mention is
%%%                        being made in current literature about this
%%%                        programming system.
%%%
%%%                        At version 3.00 [24-Apr-2014], the number of
%%%                        entries was almost tripled, after automating
%%%                        the job of searching the bibliography
%%%                        archives for entries about R and S-Plus.
%%%
%%%                        At version 4.00 [10-Jul-2014], the number of
%%%                        entries increased by more than 180, with
%%%                        additions of entries with book reviews in
%%%                        probability and statistics journals, and
%%%                        entries for all of those reviewed books, of
%%%                        which 72 are new with this version.
%%%
%%%                        BibTeX citation tags are uniformly chosen
%%%                        as name:year:abbrev, where name is the
%%%                        family name of the first author or editor,
%%%                        year is a 4-digit number, and abbrev is a
%%%                        3-letter condensation of important title
%%%                        words. Citation tags were automatically
%%%                        generated by software developed for the
%%%                        BibNet Project.
%%%
%%%                        In this bibliography, entries are sorted
%%%                        first by ascending year, and within each
%%%                        year, alphabetically by author or editor,
%%%                        and then, if necessary, by the 3-letter
%%%                        abbreviation at the end of the BibTeX
%%%                        citation tag, using the ``bibsort -byyear''
%%%                        utility.  Year order has been chosen to
%%%                        make it easier to identify the most recent
%%%                        work.
%%%
%%%                        The checksum field above contains a CRC-16
%%%                        checksum as the first value, followed by the
%%%                        equivalent of the standard UNIX wc (word
%%%                        count) utility output of lines, words, and
%%%                        characters.  This is produced by Robert
%%%                        Solovay's checksum utility.",
%%%  }
%%% ====================================================================

@Preamble{"\input bibnames.sty "
 # "\input path.sty "
 # "\hyphenation{Pren-tice Rich-ard Spring-er} "
}

%%% ====================================================================
%%% Acknowledgement abbreviations:

@String{ack-nhfb = "Nelson H. F. Beebe,
                    University of Utah,
                    Department of Mathematics, 110 LCB,
                    155 S 1400 E RM 233,
                    Salt Lake City, UT 84112-0090, USA,
                    Tel: +1 801 581 5254,
                    FAX: +1 801 581 4148,
                    e-mail: \path|beebe@math.utah.edu|,
                            \path|beebe@acm.org|,
                            \path|beebe@computer.org| (Internet),
                    URL: \path|http://www.math.utah.edu/~beebe/|"}

%%% ====================================================================
%%% Journal abbreviations:

@String{j-AMER-STAT             = "The American Statistician"}

@String{j-APPL-MATH-COMP        = "Applied Mathematics and Computation"}

@String{j-APPL-STAT             = "Applied Statistics"}

@String{j-ASPECTS-APPL-BIOL     = "Aspects of Applied Biology"}

@String{j-ATT-TECH-J            = "AT\&T Technical Journal"}

@String{j-CACM                  = "Communications of the ACM"}

@String{j-CCPE                  = "Concurrency and Computation: Prac\-tice and
                                   Experience"}

@String{j-COMP-STAT-DATA-ANA    = "Computational Statistics and Data Analysis"}

@String{j-COMP-GEOSCI           = "Computers and Geosciences"}

@String{j-COMPUT-SCI-ENG        = "Computing in Science and Engineering"}

@String{j-DDJ                   = "Dr. Dobb's Journal of Software Tools"}

@String{j-IEEE-TRANS-SOFTW-ENG  = "IEEE Transactions on Software Engineering"}

@String{j-INT-J-PARALLEL-PROG   = "International Journal of Parallel
                                   Programming"}

@String{j-INT-STAT-REV          = "International Statistical Review =
                                   Revue Internationale de Statistique"}

@String{j-J-AM-STAT-ASSOC       = "Journal of the American Statistical
                                  Association"}

@String{j-J-APPL-ECONOMETRICS   = "Journal of Applied Econometrics"}

@String{j-J-APPL-STAT           = "Journal of Applied Statistics"}

@String{j-J-COMPUT-GRAPH-STAT   = "Journal of Computational and Graphical
                                  Statistics"}

@String{j-J-PAR-DIST-COMP       = "Journal of Parallel and Distributed
                                  Computing"}

@String{j-J-STAT-COMPUT-SIMUL   = "Journal of Statistical Computation and
                                   Simulation"}

@String{j-J-STAT-SOFT           = "Journal of Statistical Software"}

@String{j-LECT-NOTES-COMP-SCI   = "Lecture Notes in Computer Science"}

@String{j-LINUX-J               = "Linux Journal"}

@String{j-OPT-METH-SOFT         = "Optimization Methods and Software"}

@String{j-RELIABLE-COMPUTING    = "Reliable Computing = Nadezhnye vychisleniia"}

@String{j-SIGACT                = "ACM SIGACT News"}

@String{j-SIGPLAN               = "ACM SIG{\-}PLAN Notices"}

@String{j-SILICON-GRAPHICS-WORLD = "Silicon Graphics World"}

@String{j-SOC-METH-RES          = "Sociological methods and research"}

@String{j-STAT-SCI              = "Statistical Science"}

@String{j-TECHNOMETRICS         = "Technometrics"}

@String{j-TOMACS                = "ACM Transactions on Modeling and
                                  Computer Simulation"}

%%% ====================================================================
%%% Publishers and their addresses:

@String{pub-AW                  = "Ad{\-d}i{\-s}on-Wes{\-l}ey"}
@String{pub-AW:adr              = "Reading, MA, USA"}

@String{pub-BROOKS-COLE         = "Brooks\slash Cole Publishing Co."}
@String{pub-BROOKS-COLE:adr     = "Pacific Grove, CA, USA"}

@String{pub-CAMBRIDGE           = "Cambridge University Press"}
@String{pub-CAMBRIDGE:adr       = "Cambridge, UK"}

@String{pub-CHAPMAN-HALL        = "Chapman and Hall, Ltd."}
@String{pub-CHAPMAN-HALL:adr    = "London, UK"}

@String{pub-CHAPMAN-HALL-CRC    = "Chapman and Hall/CRC"}
@String{pub-CHAPMAN-HALL-CRC:adr = "Boca Raton, FL, USA"}

@String{pub-CRC                 = "CRC Press"}
@String{pub-CRC:adr             = "2000 N.W. Corporate Blvd., Boca Raton,
                                  FL 33431-9868, USA"}

@String{pub-DUXBURY             = "Duxbury Press"}
@String{pub-DUXBURY:adr         = "Belmont, CA, USA"}

@String{pub-DUXBURY-PRESS       = "Duxbury Press"}
@String{pub-DUXBURY-PRESS:adr   = "North Scituate, MA, USA"}

@String{pub-GORDON-BREACH       = "Gordon and Breach"}
@String{pub-GORDON-BREACH:adr   = "Langhorne, PA, USA"}

@String{pub-IEEE                = "IEEE Computer Society Press"}
@String{pub-IEEE:adr            = "1109 Spring Street, Suite 300, Silver
                                  Spring, MD 20910, USA"}

@String{pub-MANNING             = "Manning Publications"}
@String{pub-MANNING:adr         = "Greenwich, CT, USA"}

@String{pub-NETWORK-THEORY      = "Network Theory Ltd."}
@String{pub-NETWORK-THEORY:adr  = "Bristol, UK"}

@String{pub-NO-STARCH           = "No Starch Press"}
@String{pub-NO-STARCH:adr       = "San Francisco, CA, USA"}

@String{pub-ORA                 = "O'Reilly \& {Associates, Inc.}"}
@String{pub-ORA:adr             = "981 Chestnut Street, Newton, MA 02164, USA"}

@String{pub-ORA-MEDIA           = "O'Reilly Media, Inc."}
@String{pub-ORA-MEDIA:adr       = "1005 Gravenstein Highway North, Sebastopol,
                                  CA 95472, USA"}

@String{pub-OXFORD               = "Oxford University Press"}
@String{pub-OXFORD:adr           = "Walton Street, Oxford OX2 6DP, UK"}

@String{pub-SAS                 = "SAS Institute"}
@String{pub-SAS:adr             = "SAS Circle, Box 8000, Cary, NC
                                  27512-8000, USA"}

@String{pub-STATSCI             = "StatSci, a Division of MathSoft, Inc."}
@String{pub-STATSCI:adr         = "Seattle, WA, USA"}

@String{pub-SV                  = "Spring{\-}er-Ver{\-}lag"}
@String{pub-SV:adr              = "Berlin, Germany~/ Heidelberg, Germany~/
                                   London, UK~/ etc."}

@String{pub-TAYLOR-FRANCIS      = "Taylor and Francis"}
@String{pub-TAYLOR-FRANCIS:adr  = "Boca Raton, FL, USA"}

@String{pub-WADSWORTH           = "Wadsworth"}
@String{pub-WADSWORTH:adr       = "Pacific Grove, CA, USA"}

@String{pub-WILEY               = "Wiley"}
@String{pub-WILEY:adr           = "New York, NY, USA"}

@String{pub-WILEY-INTERSCIENCE  = "Wiley-In{\-}ter{\-}sci{\-}ence"}
@String{pub-WILEY-INTERSCIENCE:adr = "New York, NY, USA"}

@String{pub-WORLD-SCI           = "World Scientific Publishing
                                  Co. Pte. Ltd."}
@String{pub-WORLD-SCI:adr       = "P. O. Box 128, Farrer Road,
                                  Singapore 9128"}

%%% ====================================================================
%%% Bibliography entries.

@Book{Tukey:1977:EDA,
  author =       "John W. Tukey",
  title =        "Exploratory data analysis",
  publisher =    pub-AW,
  address =      pub-AW:adr,
  pages =        "xvi + 688",
  year =         "1977",
  ISBN =         "0-201-07616-0",
  ISBN-13 =      "978-0-201-07616-5",
  LCCN =         "HA29 .T916 1977",
  bibdate =      "Tue Jun 01 15:28:00 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{Becker:1981:LSD,
  author =       "Richard A. Becker and John M. Chambers",
  title =        "{S}: {A} Language and System for Data Analysis",
  organization = "AT\&T Bell Laboratories",
  address =      "Murray Hill, NJ, USA",
  year =         "1981",
  LCCN =         "QA76.7 .B43 1981",
  bibdate =      "Wed Aug 10 10:41:43 1994",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Book{Chambers:1983:GMD,
  editor =       "John M. Chambers and W. S. Cleveland and B. Kleiner
                 and P. A. Tukey",
  title =        "Graphical methods for data analysis",
  publisher =    pub-WADSWORTH,
  address =      pub-WADSWORTH:adr,
  pages =        "xiv + 395",
  year =         "1983",
  ISBN =         "0-534-98052-X",
  ISBN-13 =      "978-0-534-98052-8",
  LCCN =         "QA276.3 .G73 1983",
  bibdate =      "Thu Oct 20 05:31:00 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "The Wadsworth statistics/probability series",
  acknowledgement = ack-nhfb,
  keywords =     "S",
  subject =      "Statistics; Graphic methods; Congresses; Computer
                 graphics; Congresses",
}

@Article{Becker:1984:DSD,
  author =       "R. A. Becker and J. M. Chambers",
  title =        "Design of the {S} System for Data Analysis",
  journal =      j-CACM,
  volume =       "27",
  pages =        "486--495",
  month =        may,
  year =         "1984",
  CODEN =        "CACMA2",
  ISSN =         "0001-0782 (print), 1557-7317 (electronic)",
  ISSN-L =       "0001-0782",
  bibdate =      "Tue Aug 16 23:35:52 1994",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  fjournal =     "Communications of the ACM",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?idx=J79",
  keywords =     "statistics, and I3m Data Analysis",
}

@Book{Becker:1984:IED,
  author =       "Richard A. Becker and John M. Chambers",
  title =        "{S}: An Interactive Environment for Data Analysis and
                 Graphics",
  publisher =    pub-WADSWORTH,
  address =      pub-WADSWORTH:adr,
  pages =        "xii + 550",
  year =         "1984",
  ISBN =         "0-534-03313-X",
  ISBN-13 =      "978-0-534-03313-2",
  LCCN =         "QA76.73.S15 B44 1984",
  bibdate =      "Wed Aug 10 10:43:21 1994",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Article{Becker:1985:DSD,
  author =       "R. A. Becker and J. M. Chambers",
  title =        "Design of the {S} system for data analysis",
  journal =      j-ATT-TECH-J,
  volume =       "64",
  number =       "9",
  pages =        "2131--2151",
  year =         "1985",
  CODEN =        "ATJOEM",
  ISSN =         "8756-2324",
  bibdate =      "Fri Nov 12 13:09:16 2010",
  bibsource =    "Compendex database;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  abstract =     "S is a language and system for interactive data
                 analysis and graphics. It emphasizes interactive
                 analysis and graphics, ease of use, flexibility, and
                 extensibility. While sharing many characteristics with
                 other statistical systems, S differs significantly in
                 its design goals, its implementation, and the way it is
                 used. The author presents some of the design concepts
                 and implementation techniques in S and relates these
                 general ideas in computing to the specific design goals
                 for S and to other statistical systems.",
  acknowledgement = ack-nhfb,
  fjournal =     "AT\&T Technical Journal",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1538-7305/issues/",
  keywords =     "computer graphics; data analysis; high level
                 languages; interactive systems",
  subject =      "data analysis; S; language; interactive data analysis;
                 graphics; ease of use; flexibility; extensibility;
                 statistical systems",
}

@Book{Becker:1985:ESS,
  author =       "Richard A. Becker and John M. Chambers",
  title =        "Extending the {S} System",
  publisher =    pub-WADSWORTH,
  address =      pub-WADSWORTH:adr,
  pages =        "viii + 166",
  year =         "1985",
  ISBN =         "0-534-05016-6",
  ISBN-13 =      "978-0-534-05016-0",
  LCCN =         "QA276.4 .B4241 1985",
  bibdate =      "Wed Aug 10 10:38:24 1994",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Book{Cleveland:1985:EGD,
  author =       "William S. Cleveland",
  title =        "The elements of graphing data",
  publisher =    pub-WADSWORTH,
  address =      pub-WADSWORTH:adr,
  pages =        "xii + 323",
  year =         "1985",
  ISBN =         "0-534-03730-5 (paperback)",
  ISBN-13 =      "978-0-534-03730-7 (paperback)",
  LCCN =         "QA90 .C54 1985",
  bibdate =      "Thu Oct 20 05:36:46 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  price =        "US\$18.95",
  acknowledgement = ack-nhfb,
  keywords =     "S",
  subject =      "Graphic methods",
}

@Book{MathSoft:1985:PUG,
  author =       "{MathSoft, Inc.}",
  title =        "{S-PLUS} User's Guide: Version 3.3 for {Windows}",
  publisher =    pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "various",
  month =        sep,
  year =         "1985",
  ISBN =         "",
  ISBN-13 =      "",
  LCCN =         "",
  bibdate =      "Tue Jan 28 14:18:45 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Book{Devroye:1986:NUR,
  author =       "Luc Devroye",
  title =        "Non-uniform random variate generation",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xvi + 843",
  year =         "1986",
  ISBN =         "0-387-96305-7",
  ISBN-13 =      "978-0-387-96305-1",
  LCCN =         "QA274 .D48 1986",
  bibdate =      "Tue Jun 01 15:12:57 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  price =        "US\$54.00",
  acknowledgement = ack-nhfb,
}

@Book{Ripley:1987:SS,
  author =       "B. D. Ripley",
  title =        "Stochastic Simulation",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "xi + 237",
  year =         "1987",
  ISBN =         "0-471-81884-4",
  ISBN-13 =      "978-0-471-81884-7",
  ISSN =         "0271-6356",
  LCCN =         "QA76.9.C65 R571 1987",
  bibdate =      "Tue Jun 01 15:21:00 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  price =        "US\$29.95",
  series =       "Wiley series in probability and mathematical
                 statistics. Applied probability and statistics",
  acknowledgement = ack-nhfb,
}

@Book{Becker:1988:NPL,
  author =       "Richard A. Becker and John M. Chambers and Allan R.
                 Wilks",
  title =        "The New {S} Programming Language",
  publisher =    pub-WADSWORTH # " and " # pub-BROOKS-COLE,
  address =      pub-WADSWORTH:adr # " and " # pub-BROOKS-COLE:adr,
  pages =        "xvii + 702",
  year =         "1988",
  ISBN =         "0-534-09192-X",
  ISBN-13 =      "978-0-534-09192-7",
  LCCN =         "QA76.73.S15 B43 1988",
  bibdate =      "Wed Aug 10 17:37:02 1994",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
}

@Article{Azzalini:1990:LSD,
  author =       "A. Azzalini and A. W. Bowman",
  title =        "A look at some data on the {Old Faithful Geyser}",
  journal =      j-APPL-STAT,
  volume =       "39",
  number =       "3",
  pages =        "357--365",
  year =         "1990",
  CODEN =        "APSTAG",
  ISSN =         "0035-9254 (print), 1467-9876 (electronic)",
  ISSN-L =       "0035-9254",
  bibdate =      "Tue Jun 01 14:58:18 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Applied Statistics",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-9876/issues",
}

@Book{Hardle:1991:STI,
  author =       "Wolfgang H{\"a}rdle",
  title =        "Smoothing Techniques: with Implementation in {S}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xi + 261",
  year =         "1991",
  ISBN =         "0-387-97367-2 (New York), 3-540-97367-2 (Berlin)",
  ISBN-13 =      "978-0-387-97367-8 (New York), 978-3-540-97367-6
                 (Berlin)",
  LCCN =         "QA278 .H348 1990",
  bibdate =      "Tue Jun 01 14:54:36 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Article{Lubinsky:1991:CTF,
  author =       "David J. Lubinsky",
  title =        "Comment: Two Functional Programming Environments for
                 Statistics --- {Lisp-Stat} and {S}",
  journal =      j-STAT-SCI,
  volume =       "6",
  number =       "4",
  pages =        "352--360",
  month =        nov,
  year =         "1991",
  CODEN =        "STSCEP",
  ISSN =         "0883-4237",
  ISSN-L =       "0883-4237",
  bibdate =      "Fri May 30 12:48:33 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/statsci.bib",
  URL =          "http://projecteuclid.org/euclid.ss/1177011575",
  acknowledgement = ack-nhfb,
  fjournal =     "Statistical Science",
  journal-URL =  "http://projecteuclid.org/all/euclid.ss",
}

@Manual{MathSoft:1992:PPM,
  title =        "{S-PLUS} Programmer's Manual",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  edition =      "Version 3.1",
  pages =        "various",
  month =        oct,
  year =         "1992",
  bibdate =      "Tue May 07 14:38:42 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{MathSoft:1992:PUM,
  title =        "{S-PLUS} User's Manual Supplement",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  edition =      "Version 3.1",
  pages =        "various",
  month =        oct,
  year =         "1992",
  bibdate =      "Tue May 07 14:38:42 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@TechReport{Miller:1992:SNS,
  author =       "A. J. Miller",
  title =        "Some notes on statistical packages for {PCs}",
  institution =  "CSIRO Division of Mathematics \& Statistics",
  address =      "Melbourne, Australia",
  pages =        "55",
  month =        oct,
  year =         "1992",
  bibdate =      "Thu Apr 19 05:52:50 2001",
  bibsource =    "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Misc/allison.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  keywords =     "language; maths; package; S; S+; S-plus; SAS; Splus;
                 stats; survey",
}

@InProceedings{Rowlingson:1992:SSP,
  author =       "B. S. Rowlingson and P. J. Diggle",
  editor =       "P. Bresnahan and E. Corwin and D. Cowen",
  booktitle =    "Proceedings: 5th International Symposium on Spatial
                 Data Handling: August 3--7, 1992, Charleston, SC, USA",
  title =        "{Splancs}: Spatial Point Pattern Analysis Code in
                 {S-Plus}",
  volume =       "2",
  publisher =    "Humanities and Social Sciences Computing Lab,
                 University of South Carolina",
  address =      "Charleston, SC, USA",
  bookpages =    "xiv + 725",
  pages =        "713--722",
  year =         "1992",
  ISBN =         "0-9633532-0-9 (vol. 1), 0-9633532-1-7 (vol. 2),
                 0-9633532-2-5 (set)",
  ISBN-13 =      "978-0-9633532-0-7 (vol. 1), 978-0-9633532-1-4 (vol.
                 2), 978-0-9633532-2-1 (set)",
  bibdate =      "Thu Apr 19 06:05:40 2001",
  bibsource =    "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Database/GIS/sdh92.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Two volumes.",
  abstract =     "In this paper we present a package of routines written
                 in the S language and Fortran for the analysis of
                 spatial point patterns. A large body of techniques
                 exists for analyzing point patterns, but there is no
                 integrated framework in which these techniques can be
                 applied. We have used the commercial package, S-Plus,
                 to create such an environment. S-Plus's flexible,
                 extensible nature makes it easy to integrate spatial
                 point pattern analysis routines. We do not lose any of
                 the powerful functionality of S-Plus. Analysis of
                 spatial point patterns is described by many authors,
                 for example (Diggle, 1983) and (Ripley, 1981). We have
                 implemented some of the methods described there as well
                 as newer techniques in the field. Specific functions
                 have been written for: point data definition and
                 display; geometrical point/polygon overlay functions;
                 point pattern summary statistics; point pattern
                 simulations and Monte-Carlo tests. We have constructed
                 a practical tool for the development of new spatial
                 statistical methods and the analysis of data. This
                 paper is a condensed version of Rowlingson and Diggle
                 (1991a), which contains further examples and complete
                 listing of the help pages and code for Splancs.",
}

@Book{Sibuya:1992:DAU,
  author =       "M. Sibuya and R. Shibata",
  title =        "Data Analysis by Using {S}",
  publisher =    "Kyouritsu Syppan",
  address =      "????, Japan",
  pages =        "????",
  year =         "1992",
  ISBN =         "????",
  ISBN-13 =      "????",
  LCCN =         "????",
  bibdate =      "Tue Jun 01 15:24:29 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Book{Chambers:1993:SMS,
  editor =       "John M. Chambers and Trevor J. Hastie",
  title =        "Statistical Models in {S}",
  publisher =    pub-CHAPMAN-HALL # " and " # pub-WADSWORTH,
  address =      pub-CHAPMAN-HALL:adr # " and " # pub-WADSWORTH:adr,
  pages =        "xv + 608",
  year =         "1993",
  ISBN =         "0-412-05301-2 (Chapman and Hall), 0-534-16765-9
                 (Wadsworth paperback), 0-534-16764-0 (Wadsworth
                 hardcover)",
  ISBN-13 =      "978-0-412-05301-6 (Chapman and Hall),
                 978-0-534-16765-3 (Wadsworth paperback),
                 978-0-534-16764-6 (Wadsworth hardcover)",
  LCCN =         "QA276.4 .S65 1992",
  bibdate =      "Wed Aug 10 10:31:05 1994",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  price =        "US\$40.95",
  acknowledgement = ack-nhfb,
}

@Book{Cleveland:1993:VD,
  author =       "William S. Cleveland",
  title =        "Visualizing Data",
  publisher =    "Hobart Press",
  address =      "Summit, NJ, USA",
  pages =        "360",
  year =         "1993",
  ISBN =         "0-9634884-0-6",
  ISBN-13 =      "978-0-9634884-0-4",
  LCCN =         "QA276.3.C57 1993",
  bibdate =      "Tue Jun 01 15:10:42 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  price =        "US\$50.00",
  acknowledgement = ack-nhfb,
}

@Article{Hallman:1993:RP,
  author =       "J. Hallman",
  title =        "Review of {S-PLUS}",
  journal =      j-J-APPL-ECONOMETRICS,
  volume =       "8",
  number =       "2",
  pages =        "213--219",
  month =        apr,
  year =         "1993",
  CODEN =        "JAECET",
  DOI =          "http://dx.doi.org/10.1002/jae.3950080208",
  ISSN =         "0883-7252 (print), 1099-1255 (electronic)",
  ISSN-L =       "0883-7252",
  bibdate =      "Mon Feb 5 11:41:22 MST 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Applied Econometrics",
  onlinedate =   "7 Nov 2006",
  xxpages =      "213--220",
}

@InProceedings{LoPresti:1993:IOP,
  author =       "C. A. {Lo Presti}",
  title =        "Implementation of the Object-Oriented Paradigm in
                 {S-Plus}",
  crossref =     "IEEE:1993:NCR",
  pages =        "186--191",
  year =         "1993",
  bibdate =      "Tue May 7 12:13:22 MDT 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Book{Marazzi:1993:ARF,
  author =       "Alfio Marazzi and Johann Joss and Alex
                 Randriamiharisoa",
  title =        "Algorithms, Routines, and {S} Functions for Robust
                 Statistics: The {FORTRAN} Library {ROBETH} with an
                 Interface to {S-PLUS}",
  publisher =    pub-WADSWORTH # " and " # pub-BROOKS-COLE,
  address =      pub-WADSWORTH:adr # " and " # pub-BROOKS-COLE:adr,
  pages =        "xii + 436",
  year =         "1993",
  ISBN =         "0-534-19698-5",
  ISBN-13 =      "978-0-534-19698-1",
  LCCN =         "QA276.4 .M267 1993",
  bibdate =      "Sun Sep 28 10:42:07 MDT 1997",
  bibsource =    "http://www.amazon.com/exec/obidos/ISBN=0534196985/wholesaleproductA/;
                 http://www.cbooks.com/;
                 http://www.math.utah.edu/pub/tex/bib/fortran3.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  price =        "US\$69.50",
  URL =          "http://www.cbooks.com/sqlnut/SP/search/gtsumt?source=&isbn=0534196985",
  acknowledgement = ack-nhfb,
  keywords =     "robeth; robust statistics -- data processing",
}

@Manual{MathSoft:1993:CCP,
  title =        "A Crash Course in {S-PLUS}",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  edition =      "Version 3.2",
  pages =        "various",
  month =        dec,
  year =         "1993",
  bibdate =      "Tue May 07 14:34:29 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{MathSoft:1993:GIP,
  title =        "A Gentle Introduction to {S-PLUS}",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  edition =      "Version 3.2",
  pages =        "various",
  month =        dec,
  year =         "1993",
  bibdate =      "Tue May 07 14:34:29 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{MathSoft:1993:IMM,
  title =        "{S-PLUS} Installation and Maintenance Manual",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  edition =      "Version 3.2",
  pages =        "various",
  month =        dec,
  year =         "1993",
  bibdate =      "Tue May 07 14:34:29 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{MathSoft:1993:PGS,
  title =        "{S-PLUS} Guide to Statistical and Mathematical
                 Analysis",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  edition =      "Version 3.2",
  pages =        "various",
  month =        dec,
  year =         "1993",
  bibdate =      "Tue May 07 12:10:01 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{MathSoft:1993:PPM,
  title =        "{S-PLUS} Programmer's Manual",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  edition =      "Version 3.2",
  pages =        "various",
  month =        dec,
  year =         "1993",
  bibdate =      "Tue May 07 12:10:01 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{MathSoft:1993:PUM,
  title =        "{S-PLUS} User's Manual",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  edition =      "Version 3.2",
  pages =        "various",
  month =        dec,
  year =         "1993",
  bibdate =      "Tue May 07 12:10:01 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Article{Rowlingson:1993:SSP,
  author =       "B. S. Rowlingson and P. J. Diggle",
  title =        "{Splancs}: spatial point pattern analysis code in
                 {S-Plus}",
  journal =      j-COMP-GEOSCI,
  volume =       "19",
  number =       "5",
  pages =        "627--655",
  month =        may,
  year =         "1993",
  CODEN =        "CGOSDN",
  ISSN =         "0098-3004 (print), 1873-7803 (electronic)",
  ISSN-L =       "0098-3004",
  MRnumber =     "93J-12038",
  bibdate =      "Mon Feb 5 11:41:22 MST 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  affiliation =  "Mathematics Dept, Lancaster Univ, Lancaster LA1 4YF,
                 UK",
  fjournal =     "Computers and Geosciences",
  keywords =     "GIS; point pattern analysis; spatial statistics",
}

@Manual{StatSci:1993:CCP,
  title =        "A Crash Course in {S-PLUS}",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "various",
  month =        dec,
  year =         "1993",
  bibdate =      "Wed Mar 12 15:14:41 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{StatSci:1993:GIP,
  title =        "A Gentle Introduction to {S-PLUS}, Version 3.2",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "various",
  month =        dec,
  year =         "1993",
  bibdate =      "Wed Mar 12 15:14:41 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{StatSci:1993:PGS,
  title =        "{S-PLUS} Guide to Statistical and Mathematical
                 Analysis, Version 3.2",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "various",
  month =        dec,
  year =         "1993",
  bibdate =      "Wed Mar 12 15:14:41 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{StatSci:1993:PPM,
  title =        "{S-PLUS} Programmer's Manual, Version 3.2",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "various",
  month =        dec,
  year =         "1993",
  bibdate =      "Wed Mar 12 15:14:41 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{StatSci:1993:PUM,
  title =        "{S-PLUS} User's Manual, Version 3.2",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "various",
  month =        dec,
  year =         "1993",
  bibdate =      "Wed Mar 12 15:14:41 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Book{Suselbeck:1993:PEP,
  author =       "Benno S{\"u}selbeck",
  title =        "{S und S-PLUS: Eine Einf{\"u}hrung in Programmierung
                 und Anwendung}",
  publisher =    "Fischer",
  address =      "Stuttgart, Germany",
  pages =        "xii + 602",
  year =         "1993",
  ISBN =         "3-437-40232-3",
  ISBN-13 =      "978-3-437-40232-6",
  LCCN =         "????",
  bibdate =      "Tue Jun 01 15:26:27 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@InProceedings{Becker:1994:BH,
  author =       "R. A. Becker",
  title =        "A Brief History of {S}",
  crossref =     "Dirschedl:1994:CSP",
  pages =        "81--110",
  year =         "1994",
  bibdate =      "Tue Jun 01 15:03:07 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Book{Cleveland:1994:EGD,
  author =       "William S. Cleveland",
  title =        "The elements of graphing data",
  publisher =    "AT\&T Bell Laboratories",
  address =      "Murray Hill, NJ, USA",
  edition =      "Revised",
  pages =        "297",
  year =         "1994",
  ISBN =         "0-9634884-1-4 (cloth)",
  ISBN-13 =      "978-0-9634884-1-1 (cloth)",
  LCCN =         "QA90 .C54 1994",
  bibdate =      "Thu Oct 20 05:36:46 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  acknowledgement = ack-nhfb,
  keywords =     "S-Plus",
  subject =      "Graphic methods",
}

@Book{Everitt:1994:HSA,
  author =       "Brian S. Everitt",
  title =        "A Handbook of Statistical Analyses using {S-PLUS}",
  publisher =    pub-CHAPMAN-HALL,
  address =      pub-CHAPMAN-HALL:adr,
  pages =        "viii + 143",
  year =         "1994",
  ISBN =         "0-412-56310-X",
  ISBN-13 =      "978-0-412-56310-2",
  LCCN =         "QA276.4.E93 1994",
  bibdate =      "Tue Jun 01 15:14:23 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@TechReport{Farrell:1994:HDB,
  author =       "W. E. Farrell and J. Gaffney and J. Given and R. D.
                 Jenkins and N. Hall",
  title =        "A Hydrographic Database built on {Montage} and
                 {S-PLUS}",
  type =         "Technical Report",
  number =       "S2K-94-47",
  institution =  "University of California, Berkeley",
  address =      "Berkeley, CA, USA",
  pages =        "31",
  month =        mar,
  year =         "1994",
  bibdate =      "Thu Apr 19 05:56:30 2001",
  bibsource =    "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Techreports/NCSTRL/UCB.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  abstract =     "A powerful software environment for research can be
                 created by combining database management systems and
                 commercial software for analysis and display of data.
                 This provides a richer programming environment and more
                 sophisticated graphical possibilities than are offered
                 by present database systems. It provides a data storage
                 and retrieval system that adheres to a standard syntax,
                 SQL, and which is more robust than file-based
                 approaches. Only recently has it become possible to
                 combine these two kinds of software but increasingly
                 database and scientific application software has the
                 open architecture that is conducive to the data sharing
                 that makes such combinations possible. New database
                 systems also accommodate the complex types of data of
                 interest to scientists. We have a way to link
                 appropriate database software and scientific
                 application software which is called the Generic
                 Database Interface (GDI). In essence, it consists of a
                 core set of functions, complemented by product-specific
                 interface code which is unique to each database product
                 and each application product. The GDI provides the
                 mechanism for both submitting a SQL query to any
                 supported database and also handling the data that are
                 exchanged in satisfaction of the query. We illustrate
                 the strength of this approach by applying it to tasks
                 involving selection and display of ocean temperature
                 data using the Montage database management system and
                 the S-PLUS statistics application. The examples
                 illustrate a few of the novel capabilities of this
                 approach; they do not comprise a complete data
                 processing application.",
}

@Misc{Gersten:1994:PAI,
  author =       "R. Carey Gersten",
  title =        "{S-PLUS} for {ARC\slash INFO}: your link to a powerful
                 statistical view",
  publisher =    pub-STATSCI,
  address =      pub-STATSCI:adr,
  year =         "1994",
  LCCN =         "G70.2 .S65 1994 VIDEO/C Reserve",
  bibdate =      "Tue Feb 20 11:55:12 MST 2001",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Credits: Producer, R. Carey Gersten. Demonstrates the
                 advantages of combining the ARC/INFO computer program
                 with S-PLUS, as a means of GIS analysis to provide more
                 productive and insightful spatial analysis and
                 statistical modeling. Applications are broad including
                 natural resource planning, business geodemographic
                 analysis and urban and rural planning.",
  acknowledgement = ack-nhfb,
  keywords =     "ARC/INFO (computer program); geographic information
                 systems; geography -- data processing; information
                 storage and retrieval systems -- geography; S-PLUS
                 (computer program)",
}

@InProceedings{LoPresti:1994:IOO,
  author =       "C. A. {Lo Presti}",
  title =        "Implementation of the Object Oriented Paradigm in
                 {S-Plus}",
  crossref =     "IEEE:1994:NCR",
  pages =        "170--177",
  year =         "1994",
  bibdate =      "Tue May 7 12:13:22 MDT 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Misc{MathSoft:1994:PAI,
  author =       "{MathSoft, Inc.}",
  title =        "{S-PLUS} for {ARC\slash INFO}: your link to a powerful
                 statistical view",
  howpublished = "Video recording (12 min.) plus text (48 p.).",
  publisher =    pub-STATSCI,
  address =      pub-STATSCI:adr,
  year =         "1994",
  bibdate =      "Tue Jan 28 14:17:05 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
}

@Book{Spector:1994:IP,
  author =       "Phil Spector",
  title =        "An Introduction to {S} and {S-Plus}",
  publisher =    pub-DUXBURY,
  address =      pub-DUXBURY:adr,
  pages =        "xiii + 286",
  year =         "1994",
  ISBN =         "0-534-19866-X",
  ISBN-13 =      "978-0-534-19866-4",
  LCCN =         "QA76.73.S15 S63 1994",
  bibdate =      "Wed Aug 10 13:40:49 1994",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  price =        "US\$28.95",
  acknowledgement = ack-nhfb,
  keywords =     "S (computer programming language)",
}

@Book{Venables:1994:MAS,
  author =       "William N. Venables and Brian D. Ripley",
  title =        "Modern Applied Statistics with {S-PLUS}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xii + 462",
  year =         "1994",
  ISBN =         "0-387-94350-1 (New York), 3-540-94350-1 (Berlin)",
  ISBN-13 =      "978-0-387-94350-3 (New York), 978-3-540-94350-1
                 (Berlin)",
  LCCN =         "QA276.4 .V46 1994",
  bibdate =      "Tue May 07 12:49:41 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@InProceedings{Wolfe:1994:GOR,
  author =       "M. A. Wolfe",
  title =        "On Global Optimization in {R} Using Interval
                 Arithmetic",
  crossref =     "Bianco:1994:MAM",
  pages =        "61--76",
  year =         "1994",
  bibdate =      "Mon Oct 20 07:16:07 MDT 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@InProceedings{Anonymous:1995:S,
  author =       "Anonymous",
  title =        "{S-PLUS}",
  crossref =     "Bartley:1995:FET",
  pages =        "299--299",
  year =         "1995",
  bibdate =      "Tue May 7 12:13:22 MDT 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Article{Calaway:1995:OOP,
  author =       "Richard Calaway",
  title =        "Object-Oriented Programming in {S}",
  journal =      j-DDJ,
  volume =       "20",
  number =       "10",
  pages =        "44, 46, 48--49, 51, 113--115",
  month =        oct,
  year =         "1995",
  CODEN =        "DDJOEB",
  ISSN =         "1044-789X",
  bibdate =      "Thu Jan 9 09:35:43 MST 1997",
  bibsource =    "Compendex database;
                 http://www.ddj.com/index/author/index.htm;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  classification = "723.1; 723.1.1; 723.2; 723.3; 922.2; C6110J
                 (Object-oriented programming); C6120 (File
                 organisation); C6140D (High level languages)",
  fjournal =     "Dr. Dobb's Journal of Software Tools",
  journalabr =   "Dr Dobb's J Software Tools Prof Program",
  keywords =     "Browser function; Character sets; Classes; Computer
                 software; Data analysis; Data reduction; Data
                 structures; Database systems; Default; Functions;
                 Generic function; Generic functions; Graphics; Group
                 methods; High level languages; High level object
                 oriented language; Object oriented programming;
                 Object-oriented programming; Regression analysis;
                 Replacement methods; S (programming language); S
                 language; S-Plus classes; Statistical tests; Systems
                 analysis; Time series analysis",
  pagecount =    "5",
  thesaurus =    "Abstract data types; Complete computer programs;
                 Object-oriented languages; Object-oriented
                 programming",
}

@TechReport{Chambers:1995:OV,
  author =       "J. M. Chambers",
  title =        "Overview of Version 4 of {S}",
  institution =  "AT\&T Bell Laboratories",
  address =      "Murray Hill, NJ, USA",
  day =          "23",
  month =        jan,
  year =         "1995",
  bibdate =      "Tue Jun 01 15:09:33 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@TechReport{Clement:1995:DPP,
  author =       "Mark J. Clement and Michael J. Quinn",
  title =        "Dynamic Performance Prediction For Scalable Parallel
                 Computing",
  type =         "Technical Report",
  number =       "95-80-04",
  institution =  "Oregon State University",
  address =      "Corvallis, OR, USA",
  year =         "1995",
  bibdate =      "Thu Apr 19 05:54:59 2001",
  bibsource =    "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Techreports/NCSTRL/ORST.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  abstract =     "Performance prediction is necessary in order to deal
                 with multi-dimensional performance effects on parallel
                 systems. The compiler-generated analytical model
                 developed in this paper accounts for the effects of
                 cache behavior, CPU execution time and message passing
                 overhead for real programs written in high level
                 data-parallel languages. The performance prediction
                 technique is shown to be effective in analyzing several
                 non-trivial applications as the problem size and number
                 of processors vary. We leverage technology from the
                 maple symbolic manipulation system and the S-PLUS
                 statistical package in order to present users with
                 critical performance information necessary for
                 performance debugging, architectural enhancement and
                 procurement of parallel systems. The usability of these
                 results is improved through specifying confidence
                 intervals as well as predicted execution times for
                 parallel applications. Cost optimal analysis techniques
                 are also developed using the symbolic equations for
                 execution time.",
}

@Article{Grunsky:1995:PTD,
  author =       "Eric Grunsky",
  title =        "{S-PLUS} Trellis Displays",
  journal =      j-COMP-GEOSCI,
  volume =       "21",
  number =       "7",
  pages =        "917--??",
  year =         "1995",
  CODEN =        "CGOSDN",
  ISSN =         "0098-3004 (print), 1873-7803 (electronic)",
  ISSN-L =       "0098-3004",
  bibdate =      "Mon Feb 5 11:41:22 MST 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Computers and Geosciences",
}

@Article{Ko:1995:BRBa,
  author =       "Daijin Ko",
  title =        "Book Review: {{\booktitle{An Introduction to S and
                 S-Plus}} by Phil Spector}",
  journal =      j-TECHNOMETRICS,
  volume =       "37",
  number =       "2",
  pages =        "232--232",
  month =        may,
  year =         "1995",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1269629",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:08 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254361;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics1990.bib",
  URL =          "http://www.jstor.org/stable/1269629",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Ko:1995:BRBb,
  author =       "Daijin Ko",
  title =        "Book Review: {{\booktitle{A Handbook of Statistical
                 Analyses Using S-Plus}} by Brian S. Everitt}",
  journal =      j-TECHNOMETRICS,
  volume =       "37",
  number =       "2",
  pages =        "232--233",
  month =        may,
  year =         "1995",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1269630",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:08 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254361;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics1990.bib",
  URL =          "http://www.jstor.org/stable/1269630",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Krause:1995:ESS,
  author =       "Andreas Krause",
  title =        "Electronic Services in Statistics",
  journal =      "Statistical Software Newsletter in Computational
                 Statistics and Data Analysis",
  volume =       "19",
  number =       "5",
  pages =        "595--604",
  year =         "1995",
  CODEN =        "CSDADW",
  ISSN =         "0167-9473 (print), 1872-7352 (electronic)",
  bibdate =      "Tue Jun 01 15:18:14 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.genedata.com/~andreas/internet/internet.html",
  acknowledgement = ack-nhfb,
}

@InProceedings{Langston:1995:CMR,
  author =       "R. Langston",
  title =        "A Comparison of the {MODULE} routines with {S-PLUS}
                 Extensibility",
  crossref =     "Anonymous:1995:ACA",
  pages =        "1402--1405",
  year =         "1995",
  bibdate =      "Tue May 7 12:13:22 MDT 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@TechReport{Olsen:1995:SCH,
  author =       "N. H. Olsen and Pacific Biological Station",
  title =        "Software to complement {HTI}'s model 240 split-beam
                 echosounder: a user's guide to {HAFU} (Hydro-Acoustic
                 File Utilities) and {QTS} ({Qualark Tools for
                 S-Plus})",
  type =         "Technical report",
  number =       "2037",
  institution =  "Fisheries and Oceans, Canada",
  address =      "Nanaimo, BC, Canada",
  pages =        "vii + 45",
  year =         "1995",
  ISSN =         "0706-6457",
  bibdate =      "Tue Sep 22 08:25:09 MDT 1998",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Canadian technical report of fisheries and aquatic
                 sciences",
  acknowledgement = ack-nhfb,
  annote =       "Microfiche. [Ottawa]: [Minister of Supply and Services
                 Canada], 1995. 1 microfiche: negative.",
  govtdocnumber = "DSS Cat. no. Fs 97-6/2037E",
}

@Article{Schulman:1995:DAU,
  author =       "Daniel A. Schulman and Alec D. Campbell and Eric C.
                 Kostello",
  title =        "Data Analysis Using {S-Plus}",
  journal =      j-SOC-METH-RES,
  volume =       "23",
  number =       "3",
  pages =        "392--??",
  month =        feb,
  year =         "1995",
  ISSN =         "0049-1241 (print), 1552-8294 (electronic)",
  ISSN-L =       "0049-1241",
  bibdate =      "Mon Feb 5 11:41:22 MST 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Sociological Methods and Research",
}

@Manual{StatSci:1995:PGI,
  title =        "{S-PLUS} Global Index",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "various",
  month =        apr,
  year =         "1995",
  bibdate =      "Wed Mar 12 15:14:41 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{StatSci:1995:PIM,
  title =        "{S-PLUS} Installation and Maintenance Manual, Version
                 3.3",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "various",
  month =        apr,
  year =         "1995",
  bibdate =      "Wed Mar 12 15:14:41 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{StatSci:1995:PTD,
  title =        "{S-PLUS} {Trellis} Displays User's Manual, Version
                 3.3",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "various",
  month =        apr,
  year =         "1995",
  bibdate =      "Wed Mar 12 15:14:41 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{StatSci:1995:PVS,
  title =        "{S-PLUS} Version 3.3 Supplement",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "various",
  month =        apr,
  year =         "1995",
  bibdate =      "Wed Mar 12 15:14:41 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Manual{StatSci:1995:RMF,
  title =        "Read Me First, Version 3.3",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "ii + 24",
  month =        apr,
  year =         "1995",
  bibdate =      "Wed Mar 12 15:14:41 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Misc{StatSci:1995:S,
  author =       "{Statistical Sciences, Inc}",
  title =        "{S-Plus}",
  publisher =    pub-STATSCI,
  address =      pub-STATSCI:adr,
  edition =      "Version 3.3 for X-windows.",
  year =         "1995",
  bibdate =      "Tue Sep 22 08:25:09 MDT 1998",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  annote =       "Software available to licenced users via FTP. Manuals
                 include: Gentle introduction to S-Plus. Version 3.2; S-
                 PLUS version 3.3 supplement; Read me first; S-Plus
                 programmer's manual. Version 3.2; S-Plus trellis
                 displays User's manual; S- Plus global index; A crash
                 course in S-Plus. Version 3.2; S-Plus guide to
                 statistical and mathematical analysis. Version 3.2; S-
                 Plus user's manual. Version 3.2. Graphical data
                 analysis system and object-oriented programming
                 language. System requirements: SUN Sparc, IBM RS/6000,
                 Hewlett--Packard 9000- 700, Silicon Graphics IRIS,
                 DECstation, DEC Alpha/OSF; 16 MB of RAM; Hard disk with
                 55 MB of free disk space; UNIX graphics devices
                 support: X-Window system (Motif or OPEN LOOK), various
                 graphics terminals; line printer/character graphics;
                 hardcopy: PostScript, HP Laserjet, HPGL, color
                 PostScript pixel image graphics.",
  keywords =     "Mathematical statistics -- Computer programs.",
}

@Manual{StatSci:1995:SUM,
  title =        "{S-PLUS} user's manual",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  edition =      "Version 3.3.",
  pages =        "various",
  month =        sep,
  year =         "1995",
  bibdate =      "Tue Sep 22 08:25:09 MDT 1998",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  alttitle =     "S PLUS user's manual",
  keywords =     "Mathematical statistics -- Computer programs; S-Plus",
}

@MastersThesis{Yang:1995:RMV,
  author =       "Ying Yang",
  title =        "Random-effects model validation: a program package
                 using a {FORTRAN} program ({REML}) and {S-plus}",
  type =         "Thesis ({M.S.})",
  school =       "Graduate School of Public Health, University of
                 Pittsburgh",
  address =      "Pittsburgh, PA, USA",
  pages =        "v + 126",
  year =         "1995",
  bibdate =      "Tue Sep 22 08:25:09 MDT 1998",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Article{Anonymous:1996:SBP,
  author =       "Anonymous",
  title =        "{S+SpatialStats} builds on {S-Plus} technology",
  journal =      j-SILICON-GRAPHICS-WORLD,
  volume =       "6",
  number =       "6",
  pages =        "15--15",
  month =        jun,
  year =         "1996",
  ISSN =         "1057-7041",
  bibdate =      "Mon Jun 03 11:44:12 1996",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Silicon Graphics World",
}

@Book{Bartoszynski:1996:PSI,
  author =       "Robert Bartoszy{\'n}ski and Magdalena
                 Niewiadomska-Bugaj",
  title =        "Probability and statistical inference",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "xvi + 826",
  year =         "1996",
  ISBN =         "0-471-31073-5 (cloth)",
  ISBN-13 =      "978-0-471-31073-0 (cloth)",
  LCCN =         "QA273 .B2584 1996",
  bibdate =      "Wed Sep 15 11:27:49 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Wiley series in probability and statistics",
  URL =          "http://www.loc.gov/catdir/description/wiley031/96004105.html;
                 http://www.loc.gov/catdir/enhancements/fy0806/96004105-b.html;
                 http://www.loc.gov/catdir/toc/onix01/96004105.html",
  acknowledgement = ack-nhfb,
  remark =       "See also second edition
                 \cite{Bartoszynski:2007:PSI}.",
  subject =      "probabilities; mathematical statistics",
}

@Article{Becker:1996:VDC,
  author =       "R. A. Becker and W. S. Cleveland and M.-J. Shyu",
  title =        "The Visual Design and Control of Trellis Display",
  journal =      j-J-COMPUT-GRAPH-STAT,
  volume =       "5",
  number =       "2",
  pages =        "123--155",
  year =         "1996",
  ISSN =         "1061-8600 (print), 1537-2715 (electronic)",
  ISSN-L =       "1061-8600",
  bibdate =      "Tue Jun 01 15:00:30 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Computational and Graphical Statistics",
  journal-URL =  "http://www.tandfonline.com/loi/ucgs20",
}

@Book{Bruce:1996:AWA,
  author =       "Andrew Bruce and Hong-Ye Gao",
  title =        "Applied wavelet analysis with {S-Plus}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xxi + 338",
  year =         "1996",
  ISBN =         "0-387-94714-0 (softcover)",
  ISBN-13 =      "978-0-387-94714-3 (softcover)",
  LCCN =         "TK5102.9.B78 1996",
  bibdate =      "Tue Sep 22 08:25:09 MDT 1998",
  bibsource =    "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Theory/Wavelets/brandon.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.springer-ny.com/catalog/np/jul96np/DATA/0-387-94714-0.html",
  abstract =     "This book introduces applied wavelet analysis through
                 the S-PLUS software system. Using a visual data
                 analysis approach, wavelet concepts are explained in a
                 way that is intuitive and easy to understand. In
                 addition to wavelets, a whole range of related signal
                 processing techniques such as wavelet packets, local
                 cosine analysis, and matching pursuits are covered.
                 Applications of wavelet analysis are illustrated,
                 including nonparametric function estimation, digital
                 image compression, and time-frequency signal analysis.
                 The book and software is intended for a broad range of
                 data analysts, scientists, and engineers. While most
                 textbooks on wavelet analysis require advanced training
                 in mathematics, this book minimizes reliance on formal
                 mathematical methods. Readers should be familiar with
                 calculus and linear algebra at the undergraduate
                 level.",
  acknowledgement = ack-nhfb,
  keywords =     "Computer-aided engineering.; S (Computer program
                 language); Signal processing -- Mathematics; Wavelets
                 (Mathematics) -- Data processing",
}

@Article{Hilbe:1996:WFC,
  author =       "Joseph Hilbe",
  title =        "{Windows} File Conversion Software",
  journal =      j-AMER-STAT,
  volume =       "50",
  number =       "3",
  pages =        "268--??",
  month =        "????",
  year =         "1996",
  CODEN =        "ASTAAJ",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Mon May 5 07:48:12 MDT 1997",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Book{Huet:1996:STN,
  author =       "S. (Sylvie) Huet and others",
  title =        "Statistical tools for nonlinear regression: a
                 practical guide with {S-PLUS} examples",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "ix + 154",
  year =         "1996",
  ISBN =         "0-387-94727-2",
  ISBN-13 =      "978-0-387-94727-3",
  LCCN =         "QA278.2.S73 1996",
  bibdate =      "Tue Sep 22 08:25:09 MDT 1998",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Springer series in statistics",
  acknowledgement = ack-nhfb,
  keywords =     "Nonlinear theories; Parameter estimation.; Regression
                 analysis",
}

@Article{James:1996:BRB,
  author =       "David A. James",
  title =        "Book Review: {{\booktitle{Modern Applied Statistics
                 with S-PLUS}} by W. N. Venables; B. D. Ripley}",
  journal =      j-TECHNOMETRICS,
  volume =       "38",
  number =       "1",
  pages =        "77--78",
  month =        feb,
  year =         "1996",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1268908",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:11 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254364;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics1990.bib",
  URL =          "http://www.jstor.org/stable/1268908",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@InProceedings{Read:1996:BMU,
  author =       "Edith Read and Jennifer Gough",
  booktitle =    "Geography connects our world. Title: 1996 ESRI User
                 Conference: proceedings, May 20--24, 1996, Palm
                 Springs, CA",
  title =        "Beyond Mapping Using {GIS} for National Resource
                 Assessment and Analysis",
  publisher =    "Environmental Systems Research Institute",
  address =      "Redlands, CA, USA",
  year =         "1996",
  LCCN =         "G70.212 .E87 1996",
  bibdate =      "Thu Apr 19 06:07:43 2001",
  bibsource =    "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Database/GIS/esri96.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  abstract =     "Many agencies and private companies now use GIS as a
                 tool for producing maps of wildlife habitats and other
                 natural resources. The next step in application of GIS
                 is data analysis to address issues of specific concern
                 to resource managers. We present three diverse examples
                 which show how GIS can be applied to relationships
                 between hydrological and biological resources. In the
                 first example, we show cation-anion characteristics of
                 spring water in the San Bernardino Mountains of
                 California. Plots of the data in the form of Stiff
                 diagrams clearly illustrate differences between
                 calcareous, hydrothermal waters along a fault line and
                 artesian waters that typify most of the sample sites.
                 Further study is needed to determine if such
                 differences help explain the patchy distribution of
                 certain wetland plant species within the San Bernardino
                 Mountains. In the second example, we show application
                 of GIS to vegetation transect and hydrological data
                 obtained as part of a long-term riparian monitoring
                 program in the Sierra Nevada of California.
                 Box-and-whisker plots of the data using S-Plus (StatSci
                 Division, Mathsoft, Inc., Seattle, Washington, USA)
                 prove especially useful in showing the distribution of
                 wetland indicators in relation to distance from stream.
                 The third example shows habitat analysis for the Santa
                 Ana River woolly star, an endangered plant species
                 whose life cycle is linked to flooding frequency and
                 diversity in successional stage of alluvial terraces
                 within the floodplain.",
  xxISBN =       "none",
}

@Book{Anonymous:1997:PLD,
  author =       "Anonymous",
  title =        "{S-PLUS: learning by doing; eine Anleitung zum
                 Arbeiten mit S-PLUS}",
  publisher =    "Lucius und Lucius",
  address =      "Stuttgart, Germany",
  pages =        "xii + 126",
  year =         "1997",
  ISBN =         "3-8282-0049-4",
  ISBN-13 =      "978-3-8282-0049-4",
  LCCN =         "????",
  bibdate =      "Fri May 21 10:32:51 MDT 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  annote =       "Mixed media.",
}

@Book{Bowman:1997:AST,
  author =       "Adrian W. Bowman and Adelchi Azzalini",
  title =        "Applied smoothing techniques for data analysis: the
                 kernel approach with {S-Plus} illustrations",
  volume =       "18",
  publisher =    pub-OXFORD,
  address =      pub-OXFORD:adr,
  pages =        "xi + 193",
  year =         "1997",
  ISBN =         "0-19-852396-3",
  ISBN-13 =      "978-0-19-852396-3",
  LCCN =         "QA278.B68 1997",
  bibdate =      "Tue Sep 22 08:25:09 MDT 1998",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Oxford statistical science series",
  acknowledgement = ack-nhfb,
  keywords =     "Smoothing (Statistics)",
}

@Book{Davison:1997:BMT,
  author =       "A. C. (Anthony Christopher) Davison and D. V.
                 Hinkley",
  title =        "Bootstrap methods and their application",
  publisher =    pub-CAMBRIDGE,
  address =      pub-CAMBRIDGE:adr,
  pages =        "x + 582",
  year =         "1997",
  ISBN =         "0-521-57391-2 (hardcover), 0-521-57471-4 (paperback)",
  ISBN-13 =      "978-0-521-57391-7 (hardcover), 978-0-521-57471-6
                 (paperback)",
  LCCN =         "QA276.8 .D38 1997",
  bibdate =      "Tue Feb 20 11:55:12 MST 2001",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Cambridge series on statistical and probabilistic
                 mathematics",
  acknowledgement = ack-nhfb,
  keywords =     "bootstrap (statistics); Splus for Windows",
}

@Book{Krause:1997:BP,
  author =       "Andreas Krause and Melvin Olson",
  title =        "The basics of {S} and {S-Plus}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xi + 242",
  year =         "1997",
  ISBN =         "0-387-94985-2",
  ISBN-13 =      "978-0-387-94985-7",
  LCCN =         "QA276.4 .K73 1997",
  bibdate =      "Tue Sep 22 08:16:22 1998",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Statistics and computing",
  acknowledgement = ack-nhfb,
  keywords =     "Mathematical statistics -- Data processing.; S-Plus",
}

@Book{Krause:1997:EPA,
  author =       "Andreas Krause",
  title =        "{Einf{\"u}hrung in S und S-Plus: mit Aufgaben und
                 vollstandigen L{\"o}sungen}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xviii + 319",
  year =         "1997",
  ISBN =         "3-540-60932-6 (paperback)",
  ISBN-13 =      "978-3-540-60932-2 (paperback)",
  LCCN =         "????",
  bibdate =      "Tue Sep 22 08:25:09 MDT 1998",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  keywords =     "Mathematical statistics -- Data processing.; S-Plus",
}

@MastersThesis{Lasecki:1997:PFF,
  author =       "Jennifer L. Lasecki",
  title =        "{S-Plus} functions and {Fortran} subroutines for
                 multiple comparison critical points",
  type =         "Thesis ({M.S.})",
  school =       "University of South Carolina",
  address =      "Columbia, SC, USA",
  pages =        "v + 68",
  year =         "1997",
  bibdate =      "Tue Sep 22 08:25:09 MDT 1998",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@InProceedings{Martin:1997:PDI,
  author =       "R. Douglas Martin and Vikram Chalana",
  title =        "The {S-PLUS DataBlade} for {INFORMIX-Universal}
                 Server: The Natural Wedding of an Object Relational
                 Database with an Object-Oriented Data Analysis Engine",
  crossref =     "Hansen:1997:ICS",
  pages =        "126--130",
  year =         "1997",
  bibdate =      "Thu Apr 19 06:31:49 2001",
  bibsource =    "http://dblp.uni-trier.de/db/conf/ssdbm/ssdbm97.html#MartinC97;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://dblp.uni-trier.de/db/conf/ssdbm/MartinC97.html",
  cdrom =        "SSDBM97/P126.pdf",
  oldlabel =     "conf/ssdbm/MartinC97",
  XMLdata =      "ftp://ftp.informatik.uni-trier.de/pub/users/Ley/bib/records.tar.gz#conf/ssdbm/MartinC97",
}

@Article{Pillai:1997:MSD,
  author =       "Krishnakumar Pillai and V. S. Sukumaran Nair",
  title =        "A Model for Software Development Effort and Cost
                 Estimation",
  journal =      j-IEEE-TRANS-SOFTW-ENG,
  volume =       "23",
  number =       "8",
  pages =        "485--497",
  month =        aug,
  year =         "1997",
  CODEN =        "IESEDJ",
  DOI =          "http://dx.doi.org/10.1109/32.624305",
  ISSN =         "0098-5589 (print), 1939-3520 (electronic)",
  ISSN-L =       "0098-5589",
  bibdate =      "Thu Apr 19 05:59:09 2001",
  bibsource =    "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/SE/SEPL.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  abstract =     "Several algorithmic models have been proposed to
                 estimate software costs and other management
                 parameters. Early prediction of completion time is
                 absolutely essential for proper advance planning and
                 aversion of the possible ruin of a project. Putnam's
                 SLIM model offers a fairly reliable method that is used
                 extensively to predict project completion times and
                 manpower requirements as the project evolves. However,
                 the nature of the Norden/Rayleigh curve used by Putnam,
                 renders it unreliable during the initial phases of the
                 project, especially in projects involving a fast
                 manpower buildup, as is the case with most software
                 projects. In this paper, we propose the use of a model
                 that improves early prediction considerably over the
                 Putnam model. An analytic proof of the model's improved
                 performance is also demonstrated on simulated data.",
  annote =       "incomplete",
  fjournal =     "IEEE Transactions on Software Engineering",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=32",
  keywords =     "Completion time, development time, early prediction,
                 Gamma model, manpower, Norden/Rayleigh model",
}

@Manual{StatSci:1997:SGS,
  title =        "{SPlus-4} Guide to Statistics",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "xviii + 875",
  month =        jul,
  year =         "1997",
  bibdate =      "Tue Jan 12 11:12:20 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Order number R620203.",
  acknowledgement = ack-nhfb,
}

@Manual{StatSci:1997:SPG,
  title =        "{SPlus-4} Programmer's Guide",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "xvi + 17--581",
  month =        aug,
  year =         "1997",
  bibdate =      "Tue Jan 12 11:12:20 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Order number R620201.",
  acknowledgement = ack-nhfb,
}

@Manual{StatSci:1997:SUG,
  title =        "{SPlus-4} User's Guide",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "xiv + 15--620",
  month =        aug,
  year =         "1997",
  bibdate =      "Tue Jan 12 11:12:20 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Order number R620199.",
  acknowledgement = ack-nhfb,
}

@Article{Struyf:1997:IRC,
  author =       "A. Struyf and M. Hubert and P. J. Rousseeuw",
  title =        "Integrating robust clustering techniques in {S-PLUS}",
  journal =      j-COMP-STAT-DATA-ANA,
  volume =       "26",
  pages =        "17--37",
  year =         "1997",
  CODEN =        "CSDADW",
  ISSN =         "0167-9473 (print), 1872-7352 (electronic)",
  bibdate =      "Thu Apr 19 05:50:09 2001",
  bibsource =    "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Math/UIA.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  keywords =     "SFT SRV",
}

@Book{Venables:1997:MAS,
  author =       "W. N. (William N.) Venables and Brian D. Ripley",
  title =        "Modern applied statistics with {S-Plus}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Second",
  pages =        "xv + 548",
  year =         "1997",
  ISBN =         "0-387-98214-0",
  ISBN-13 =      "978-0-387-98214-4",
  LCCN =         "QA276.4 .V46 1997",
  bibdate =      "Tue Sep 22 08:25:09 MDT 1998",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.stats.ox.ac.uk/pub/MASS2/",
  acknowledgement = ack-nhfb,
  annote =       "The book's home page at the URL in this entry also
                 discusses how to use the book with the R language.",
  keywords =     "Mathematical statistics -- Data processing.; S-Plus;
                 Statistics -- Data processing",
}

@Book{Anonymous:1998:S,
  author =       "Anonymous",
  title =        "{S-PLUS 4.5}",
  publisher =    pub-DUXBURY-PRESS,
  address =      pub-DUXBURY-PRESS:adr,
  edition =      "Student",
  pages =        "440",
  year =         "1998",
  ISBN =         "0-534-35873-X",
  ISBN-13 =      "978-0-534-35873-0",
  LCCN =         "????",
  bibdate =      "Fri May 21 10:32:51 MDT 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Includes CD-ROM.",
  acknowledgement = ack-nhfb,
  annote =       "``MathSoft'' System requirements: 486 IBM compatible
                 PC; 40MB or 108MB (full installation); Windows 95,
                 Windows NT, or Windows 3.1x; graphics cards.",
  keywords =     "Mathematical statistics -- Computer programs.",
}

@Book{Chambers:1998:PDG,
  author =       "John M. Chambers",
  title =        "Programming with Data: {A} Guide to the {S} Language",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xv + 469",
  year =         "1998",
  ISBN =         "0-387-91577-X",
  ISBN-13 =      "978-0-387-91577-7",
  LCCN =         "QA76.73.S15C483 1998",
  bibdate =      "Tue Jan 12 11:17:07 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Article{Hansen:1998:BRB,
  author =       "Mark Hansen",
  title =        "Book Review: {{\booktitle{Applied Wavelet Analysis
                 with S-PLUS}} by Andrew Bruce; Hong-Ye Gao}",
  journal =      j-TECHNOMETRICS,
  volume =       "40",
  number =       "2",
  pages =        "159--159",
  month =        may,
  year =         "1998",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1270657",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:24 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254373;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics1990.bib",
  URL =          "http://www.jstor.org/stable/1270657",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Book{Kaluzny:1998:SUM,
  author =       "Stephen P. Kaluzny and Silvia C. Vega and Tamre P.
                 Cardoso and Alice A. Shelly",
  title =        "{S+SpatialStats}: User's manual for {Windows} and
                 {UNIX}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xvi + 327",
  year =         "1998",
  ISBN =         "0-387-98226-4",
  ISBN-13 =      "978-0-387-98226-7",
  LCCN =         "QA278.2 .S18 1998",
  bibdate =      "Tue Aug 05 15:35:10 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Book{Mathsoft:1998:GSS,
  author =       "{Mathsoft, Inc}",
  title =        "Getting started with {S-Plus 4.5}",
  publisher =    "Data Analysis Products Division, MathSoft, Inc.",
  address =      "Seattle, WA, USA",
  pages =        "48",
  month =        apr,
  year =         "1998",
  bibdate =      "Fri May 21 10:32:51 MDT 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  alttitle =     "S-Plus 4: Discover the power of S.",
  keywords =     "Mathematical statistics -- Computer programs",
}

@Book{Millard:1998:EPU,
  author =       "Steven P. Millard",
  title =        "{EnvironmentalStats} for {S-PLUS}: user's manual for
                 {Windows} and {UNIX}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xii + 381",
  year =         "1998",
  ISBN =         "0-387-98486-0",
  ISBN-13 =      "978-0-387-98486-5",
  LCCN =         "GE45.S73 M55 1998",
  bibdate =      "Tue Sep 22 08:25:09 MDT 1998",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  keywords =     "Environmental sciences -- Statistical methods -- Data
                 processing; S-Plus",
}

@Book{Selvin:1998:MAB,
  author =       "Steve Selvin",
  title =        "Modern applied biostatistical methods using {S-Plus}",
  volume =       "28",
  publisher =    pub-OXFORD,
  address =      pub-OXFORD:adr,
  pages =        "xiv + 461",
  year =         "1998",
  ISBN =         "0-19-512025-6",
  ISBN-13 =      "978-0-19-512025-7",
  LCCN =         "QH323.5 .S448 1998",
  bibdate =      "Tue Sep 22 08:25:09 MDT 1998",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Monographs in epidemiology and biostatistics",
  acknowledgement = ack-nhfb,
  keywords =     "Biology -- Data processing; Biometry; Biometry --
                 methods; Programming Languages; S (Computer program
                 language); S-Plus (Computer file); S-Plus.",
}

@Manual{StatSci:1998:SGS,
  title =        "{SPlus-5} Guide to Statistics",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "xxii + 1014",
  year =         "1998",
  bibdate =      "Tue Jan 12 11:12:20 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Order number R620291.",
  acknowledgement = ack-nhfb,
}

@Manual{StatSci:1998:SUG,
  title =        "{SPlus-5} User's Guide",
  organization = pub-STATSCI,
  address =      pub-STATSCI:adr,
  pages =        "xvi + 336",
  year =         "1998",
  bibdate =      "Tue Jan 12 11:12:20 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Order number R620293.",
  acknowledgement = ack-nhfb,
}

@Article{Ziegel:1998:BRBd,
  author =       "Eric R. Ziegel",
  title =        "Book Review: {{\booktitle{The Basics of S and S-PLUS}}
                 by Andreas Krause; Melvin Olson}",
  journal =      j-TECHNOMETRICS,
  volume =       "40",
  number =       "1",
  pages =        "82--83",
  month =        feb,
  year =         "1998",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1271413",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:22 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254372;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics1990.bib",
  URL =          "http://www.jstor.org/stable/1271413",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Anonymous:1999:NPE,
  author =       "Anonymous",
  title =        "New Products: {ENVI Version 3.1, Research Systems,
                 Inc.; FTLinuxCourse, Future Technologies; Alexandria
                 4.50, Spectra Logic Corporation; Applixware for Linux,
                 Applix, Inc.; c-tree Plus V6.8A, FairCom Corporation;
                 AFS Server and AS Client, Transarc; Hamilton,
                 Microstate Corporation; Cat5 Reach, Raritan Computer;
                 TclPro 1.1, Scriptics Corporation; Wingz Professional
                 3.0 for Linux, IISC; WordPerfect 8 for Linux, Corel
                 Computer; NUOPT for S-PLUS, MathSoft}",
  journal =      j-LINUX-J,
  volume =       "59",
  pages =        "??--??",
  month =        mar,
  year =         "1999",
  CODEN =        "LIJOFX",
  ISSN =         "1075-3583 (print), 1938-3827 (electronic)",
  ISSN-L =       "1075-3583",
  bibdate =      "Thu Jun 3 06:33:57 MDT 1999",
  bibsource =    "http://www.linuxjournal.com/issue59/index.html;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Linux Journal",
  journal-URL =  "http://portal.acm.org/citation.cfm?id=J508",
}

@Article{DDJStaff:1999:NVJ,
  author =       "{The DDJ Staff}",
  title =        "News and Views: Just Say No to Carpal Tunnel; {ACM}
                 Award for {S} Creator; Cruising with {Perl}; You Can't
                 Judge an Open {E}-Book \ldots{}; {H1-B} Visas in Short
                 Supply; We Interrupt You with this Message\ldots{};
                 Great Timing; \path=www.waitandsee.org=",
  journal =      j-DDJ,
  volume =       "24",
  number =       "8",
  pages =        "18--18",
  month =        aug,
  year =         "1999",
  CODEN =        "DDJOEB",
  ISSN =         "1044-789X",
  bibdate =      "Fri Jul 16 19:10:34 MDT 1999",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "John Chambers was awarded the ACM Software System
                 Award for creating the S System for statistical
                 computing.",
  URL =          "http://www.ddj.com/",
  acknowledgement = ack-nhfb,
  fjournal =     "Dr. Dobb's Journal of Software Tools",
}

@PhdThesis{Deegan:1999:ISM,
  author =       "Leo Joseph Deegan",
  title =        "Improper survival models",
  type =         "Thesis (Ph.D. in Biostatistics)",
  school =       "University of California, Berkeley",
  address =      "Berkeley, CA, USA",
  pages =        "vii + 114",
  year =         "1999",
  LCCN =         "RA3.6 .D28",
  bibdate =      "Tue Feb 20 11:55:12 MST 2001",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Includes S-PLUS code: isurvreg, Improper Survival
                 Regression.",
  keywords =     "dissertations, academic --- UCB --- public health ---
                 1991--2000; University of California, Berkeley. Group
                 in Biostatistics --- dissertations",
}

@Article{Kafadar:1999:BRB,
  author =       "Karen Kafadar and James R. Koehler",
  title =        "Book Review: {{\booktitle{Modern Applied Statistics
                 with S-Plus}}}, 2nd edition",
  journal =      j-AMER-STAT,
  volume =       "53",
  number =       "1",
  pages =        "86--??",
  month =        feb,
  year =         "1999",
  CODEN =        "ASTAAJ",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Mon Jun 07 09:45:40 1999",
  bibsource =    "http://www.amstat.org/publications/tas/toc_99.html;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Review of \cite{Venables:1997:MAS}.",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Book{StatSci:1999:MSP,
  author =       "{StatSci}",
  title =        "{Math Soft S-PLUS 4.5}",
  publisher =    pub-STATSCI,
  address =      pub-STATSCI:adr,
  edition =      "4.5 (student edition)",
  year =         "1999",
  ISBN =         "0-534-35873-X",
  ISBN-13 =      "978-0-534-35873-0",
  bibdate =      "Tue Feb 20 12:09:17 2001",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Includes CD-ROM.",
  acknowledgement = ack-nhfb,
}

@Book{Venables:1999:MAS,
  author =       "W. N. (William N.) Venables and Brian D. Ripley",
  title =        "Modern applied statistics with {S-PLUS}: Volume 1:
                 Data Analysis",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Third",
  pages =        "xi + 501",
  year =         "1999",
  ISBN =         "0-387-98825-4 (hardback)",
  ISBN-13 =      "978-0-387-98825-2 (hardback)",
  LCCN =         "QA276.4.V46 1999",
  bibdate =      "Tue Feb 20 11:53:02 2001",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "From the Web site: ``The book is also useful with R, a
                 freely-available open-source statistical system `not
                 unlike S'. We have tried where possible to use code
                 that works in all versions of S-PLUS and in R.''.",
  series =       "Statistics and computing",
  URL =          "http://www.stats.ox.ac.uk/pub/MASS3/",
  acknowledgement = ack-nhfb,
  keywords =     "Mathematical statistics --- Data processing; S-Plus;
                 Statistics --- Data processing",
}

@Article{Wolfe:1999:DMP,
  author =       "Michael A. Wolfe",
  title =        "On Discrete Minimax Problems in {R} Using Interval
                 Arithmetic",
  journal =      j-RELIABLE-COMPUTING,
  volume =       "5",
  number =       "4",
  pages =        "371--383",
  month =        nov,
  year =         "1999",
  CODEN =        "RCOMF8",
  DOI =          "http://dx.doi.org/10.1023/A:1009930013647",
  ISSN =         "1385-3139 (print), 1573-1340 (electronic)",
  ISSN-L =       "1385-3139",
  bibdate =      "Sat Jan 5 16:01:06 MST 2013",
  bibsource =    "http://springerlink.metapress.com/openurl.asp?genre=issue&issn=1385-3139&volume=5&issue=4;
                 http://www.math.utah.edu/pub/tex/bib/reliablecomputing.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://link.springer.com/article/10.1023/A%3A1009930013647/;
                 http://www.springerlink.com/openurl.asp?genre=article&issn=1385-3139&volume=5&issue=4&spage=371;
                 http://www.springerlink.com/openurl.asp?genre=article&issn=1385-3139&volume=5&issue=4&spage=371-383",
  acknowledgement = ack-nhfb # "\slash " # ack-rbk # "\slash " # ack-vk,
  fjournal =     "Reliable Computing = Nadezhnye vychisleniia",
  journal-URL =  "http://link.springer.com/journal/11155",
}

@Article{Ziegel:1999:BRBr,
  author =       "Eric R. Ziegel",
  title =        "Book Review: {{\booktitle{Environmental Stats for
                 S-Plus}} by Steven P. Millard}",
  journal =      j-TECHNOMETRICS,
  volume =       "41",
  number =       "2",
  pages =        "179--179",
  month =        may,
  year =         "1999",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1270752",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:30 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254377;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics1990.bib",
  URL =          "http://www.jstor.org/stable/1270752",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Bureau:2000:PIH,
  author =       "Alexandre Bureau and James P. Hughes and Stephen C.
                 Shiboski",
  title =        "An {S-Plus} Implementation of Hidden {Markov} Models
                 in Continuous Time",
  journal =      j-J-COMPUT-GRAPH-STAT,
  volume =       "9",
  number =       "4",
  pages =        "621--??",
  month =        dec,
  year =         "2000",
  CODEN =        "",
  ISSN =         "1061-8600 (print), 1537-2715 (electronic)",
  ISSN-L =       "1061-8600",
  bibdate =      "Wed Apr 18 10:23:03 MDT 2001",
  bibsource =    "http://www.amstat.org/publications/jcgs/;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.amstat.org/publications/jcgs/abstracts00/Bureau.htm",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Computational and Graphical Statistics",
  journal-URL =  "http://www.tandfonline.com/loi/ucgs20",
}

@Article{Kautz:2000:LLI,
  author =       "Frederick Kautz and Dimitrios Souflis and Robert
                 Carbonari and DDJ and Al Gettier and Tina Femia and
                 Andrew D. Todd and Anonymous and Alan Horn and
                 Anonymous and Brad Clawsie and Samuel Pearlman",
  title =        "Letters: The {S} Language; {IP} Security; {Pnuts}
                 Pointer; Flyby; Worker Shortage?; Design by Interface",
  journal =      j-DDJ,
  volume =       "25",
  number =       "4",
  pages =        "10, 12",
  month =        apr,
  year =         "2000",
  CODEN =        "DDJOEB",
  ISSN =         "1044-789X",
  bibdate =      "Thu Nov 9 08:25:14 MST 2000",
  bibsource =    "http://www.ddj.com/;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "See \cite{Stevens:2000:CPP}.",
  acknowledgement = ack-nhfb,
  fjournal =     "Dr. Dobb's Journal of Software Tools",
}

@Book{Krause:2000:BP,
  author =       "Andreas Krause and Melvin Olson",
  title =        "The basics of {S} and {S-Plus}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Second",
  pages =        "xxii + 382",
  year =         "2000",
  ISBN =         "0-387-98961-7",
  ISBN-13 =      "978-0-387-98961-7",
  LCCN =         "QA276.4 .K73 2000",
  bibdate =      "Tue Feb 20 11:55:12 MST 2001",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Statistics and computing",
  acknowledgement = ack-nhfb,
  keywords =     "mathematical statistics --- data processing; S-PLUS",
}

@Book{Millard:2000:EPU,
  author =       "Steven P. Millard",
  title =        "{EnvironmentalStats} for {S-Plus}: User's Manual for
                 {Windows} and {UNIX}, Versions 1.0 \& 1.1",
  publisher =    "Probability, Statistics \& Information",
  address =      "Seattle, WA, USA",
  pages =        "x + 381",
  month =        mar,
  year =         "2000",
  LCCN =         "????",
  bibdate =      "Fri Sep 13 13:00:34 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  xxISBN =       "none",
}

@Book{Pinheiro:2000:MEM,
  author =       "Jose C. Pinheiro and Douglas M. Bates",
  title =        "Mixed-effects models in {S} and {S-PLUS}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xvi + 528",
  year =         "2000",
  ISBN =         "0-387-98957-9",
  ISBN-13 =      "978-0-387-98957-0",
  LCCN =         "QA76.73.S15 P56 2000",
  bibdate =      "Thu Apr 12 10:53:17 2001",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  price =        "US\$69.95",
  series =       "Statistics and computing",
  acknowledgement = ack-nhfb,
}

@MastersThesis{Rohrl:2000:PPS,
  author =       "Armin R{\"o}hrl",
  title =        "Parallel processing in statistical computation: {BSP},
                 {FPGas} and {MPI} for the {S}-language",
  type =         "Th{\`e}se sciences",
  school =       "EPF Lausanne",
  address =      "Lausanne, Switzerland",
  pages =        "137",
  year =         "2000",
  bibdate =      "Wed Aug 27 07:24:45 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Article{Stevens:2000:CPP,
  author =       "Al Stevens",
  title =        "{C} Programming: The {S} Programming Language",
  journal =      j-DDJ,
  volume =       "25",
  number =       "2",
  pages =        "110--113",
  month =        feb,
  year =         "2000",
  CODEN =        "DDJOEB",
  ISSN =         "1044-789X",
  bibdate =      "Thu Nov 9 08:25:13 MST 2000",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "See comment on another {S} language
                 \cite{Kautz:2000:LLI}.",
  URL =          "http://www.ddj.com/ftp/2000/2000_02/cprog220.txt",
  abstract =     "Al resurrects S, a homebrew C variant he implemented a
                 decade ago -- back before the days of JavaScript and
                 VB. His updated version is written in C++, and includes
                 a shell program that tests the interpreter by loading
                 and executing text source-code files written in the S
                 language. Additional resources include cprog220.txt
                 (listings).",
  acknowledgement = ack-nhfb,
  fjournal =     "Dr. Dobb's Journal of Software Tools",
  xxnote =       "This is NOT the statistics programming language that
                 predated S-Plus; I wrote to the author and pointed out
                 the name conflict.",
}

@Book{Venables:2000:MAS,
  author =       "W. N. (William N.) Venables and Brian D. Ripley",
  title =        "Modern applied statistics with {S-PLUS}: Volume 2: {S}
                 Programming",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "x + 264",
  year =         "2000",
  ISBN =         "0-387-98966-8",
  ISBN-13 =      "978-0-387-98966-2",
  LCCN =         "QA76.73.S15 V46 2000",
  bibdate =      "Thu Apr 19 06:26:28 2001",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Statistics and computing",
  URL =          "http://www.stats.ox.ac.uk/pub/MASS3/",
  acknowledgement = ack-nhfb,
  annote =       "This is the first entry in the TUG bibliography
                 archive for the year 2000.",
  keywords =     "Mathematical statistics --- Data processing; S-Plus;
                 Statistics --- Data processing",
}

@Article{Ziegel:2000:BRBi,
  author =       "Eric R. Ziegel",
  title =        "Book Review: {{\booktitle{Modern Applied
                 Biostatistical Methods Using S-Plus}} by Steve
                 Selvin}",
  journal =      j-TECHNOMETRICS,
  volume =       "42",
  number =       "2",
  pages =        "221--221",
  month =        may,
  year =         "2000",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1271484",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:35 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254381;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/1271484",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Book{Everitt:2001:AMD,
  author =       "Brian Everitt and Sophia Rabe-Hesketh",
  title =        "Analyzing medical data using {S-PLUS}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "????",
  year =         "2001",
  ISBN =         "0-387-98862-9",
  ISBN-13 =      "978-0-387-98862-7",
  LCCN =         "RA409.5 E94 2001",
  bibdate =      "Tue Feb 20 12:12:53 2001",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Statistics for biology and health",
  acknowledgement = ack-nhfb,
}

@Book{Harrell:2001:RMS,
  author =       "Frank E. {Harrell, Jr.}",
  title =        "Regression Modeling Strategies: With Applications to
                 Linear Models, Logistic Regression, and Survival
                 Analysis",
  volume =       "??",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xxiii + 571",
  year =         "2001",
  CODEN =        "????",
  DOI =          "http://dx.doi.org/10.1007/978-1-4757-3462-1",
  ISBN =         "1-4419-2918-5, 1-4757-3462-X (e-book)",
  ISBN-13 =      "978-1-4419-2918-1, 978-1-4757-3462-1 (e-book)",
  ISSN =         "0172-7397",
  ISSN-L =       "0172-7397",
  LCCN =         "QA276-280",
  bibdate =      "Thu Jun 19 06:41:19 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/probstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Springer Series in Statistics",
  URL =          "http://link.springer.com/book/10.1007/978-1-4757-3462-1",
  abstract =     "Many texts are excellent sources of knowledge about
                 individual statistical tools, but the art of data
                 analysis is about choosing and using multiple tools.
                 Instead of presenting isolated techniques, this text
                 emphasizes problem solving strategies that address the
                 many issues arising when developing multivariable
                 models using real data and not standard textbook
                 examples. It includes imputation methods for dealing
                 with missing data effectively, methods for dealing with
                 nonlinear relationships and for making the estimation
                 of transformations a formal part of the modeling
                 process, methods for dealing with ``too many variables
                 to analyze and not enough observations,'' and powerful
                 model validation techniques based on the bootstrap.
                 This text realistically deals with model uncertainty
                 and its effects on inference to achieve ``safe data
                 mining.''.",
  acknowledgement = ack-nhfb,
  remark =       "Most volumes in this series are unnumbered.",
  series-URL =   "http://link.springer.com/bookseries/692",
  subject =      "Statistics; Mathematical statistics",
  tableofcontents = "General Aspects of Fitting Regression Models \\
                 Missing Data \\
                 Multivariable Modeling Strategies \\
                 Resampling, Validating, Describing, and Simplifying the
                 Model \\
                 S-PLUS Software \\
                 Case Study in Least Squares Fitting and Interpretation
                 of a Linear Model \\
                 Case Study in Imputation and Data Reduction \\
                 Overview of Maximum Likelihood Estimation \\
                 Binary Logistic Regression \\
                 Logistic Model Case Study 1: Predicting Cause of Death
                 \\
                 Logistic Model Case Study 2: Survival of Titanic
                 Passengers \\
                 Ordinal Logistic Regression \\
                 Case Study in Ordinal Regression, Data Reduction, and
                 Penalization \\
                 Models Using Nonparametic Transformations of X and Y
                 \\
                 Introduction to Survival Analysis \\
                 Parametric Survival Models \\
                 Case Study in Parametric Survival Modeling and Model
                 Approximation \\
                 Cox Proportional Hazards Regression Model \\
                 Case Study in Cox Regression",
}

@Book{Krause:2001:ASP,
  editor =       "Andreas Krause and Steven P. Millard",
  title =        "Applied statistics in the pharmaceutical industry:
                 with case studies using {S-Plus}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xviii + 513",
  year =         "2001",
  ISBN =         "0-387-98814-9",
  ISBN-13 =      "978-0-387-98814-6",
  LCCN =         "S122 .A665 2001",
  bibdate =      "Thu Apr 19 06:08:25 2001",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  keywords =     "Drugs --- Research --- Statistical methods",
}

@Article{Lumley:2001:BRB,
  author =       "Thomas Lumley",
  title =        "Book Review: {{\booktitle{Environmental Statistics
                 with S-PLUS}} by Steven P. Millard; Nagaraj K.
                 Neerchal}",
  journal =      j-TECHNOMETRICS,
  volume =       "43",
  number =       "4",
  pages =        "495--495",
  month =        nov,
  year =         "2001",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1270836",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:44 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254387;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/1270836",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Book{Millard:2001:ESP,
  author =       "Steven P. Millard and Nagaraj K. Neerchal",
  title =        "Environmental statistics with {S-Plus}",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "830",
  year =         "2001",
  ISBN =         "0-8493-7168-6",
  ISBN-13 =      "978-0-8493-7168-4",
  LCCN =         "GE45.S73 M55 2001",
  bibdate =      "Tue Feb 20 11:55:12 MST 2001",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Applied environmental statistics",
  acknowledgement = ack-nhfb,
  keywords =     "environmental sciences -- statistical methods -- data
                 processing; S-PLUS",
}

@Book{Schumacker:2001:USC,
  author =       "Randall E. Schumacker and Allen Akers",
  title =        "Understanding statistical concepts using {S-plus}",
  publisher =    "Lawrence Erlbaum Associates",
  address =      "Mahwah, NJ, USA",
  pages =        "xiii + 357",
  year =         "2001",
  ISBN =         "0-8058-3623-3",
  ISBN-13 =      "978-0-8058-3623-3",
  LCCN =         "QA276.4 .S366 2001",
  bibdate =      "Fri Sep 13 15:26:38 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  keywords =     "Mathematical statistics --- Data processing; S-Plus",
}

@Article{Ziegel:2001:BRBac,
  author =       "Eric R. Ziegel",
  title =        "Book Review: {{\booktitle{The Basics of S and S-PLUS}}
                 by Andreas Krause; Melvin Olson}",
  journal =      j-TECHNOMETRICS,
  volume =       "43",
  number =       "2",
  pages =        "249--249",
  month =        may,
  year =         "2001",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1271073",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:41 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254385;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/1271073",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Ziegel:2001:BRBad,
  author =       "Eric R. Ziegel",
  title =        "Book Review: {{\booktitle{Modern Applied Statistics
                 with S-PLUS}} by W. N. Venables; B. D. Ripley}",
  journal =      j-TECHNOMETRICS,
  volume =       "43",
  number =       "2",
  pages =        "249--249",
  month =        may,
  year =         "2001",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1271074",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:41 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254385;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/1271074",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Ziegel:2001:BRBe,
  author =       "Eric R. Ziegel",
  title =        "Book Review: {{\booktitle{Mixed-Effects Models in S
                 and S-PLUS}} by Jos{\'e} C. Pinheiro; Douglas M.
                 Bates}",
  journal =      j-TECHNOMETRICS,
  volume =       "43",
  number =       "1",
  pages =        "113--113",
  month =        feb,
  year =         "2001",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1270889",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:40 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254384;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/1270889",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Book{Crawley:2002:SCI,
  author =       "Michael J. Crawley",
  title =        "Statistical computing: an introduction to data
                 analysis using {S-Plus}",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "ix + 761",
  year =         "2002",
  ISBN =         "0-471-56040-5",
  ISBN-13 =      "978-0-471-56040-1",
  LCCN =         "QA276.4 .C73 2002",
  bibdate =      "Fri Sep 13 13:03:56 MDT 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  keywords =     "statistics -- data processing",
}

@Book{Dalgaard:2002:ISR,
  author =       "Peter Dalgaard",
  title =        "Introductory Statistics with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xv + 267",
  year =         "2002",
  ISBN =         "0-387-95475-9",
  ISBN-13 =      "978-0-387-95475-2",
  LCCN =         "QA276.4 .D33 2002",
  bibdate =      "Mon Dec 08 11:29:26 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  remark =       "Second edition \cite{Dalgaard:2008:ISR}.",
}

@Book{Everitt:2002:HSA,
  author =       "Brian S. Everitt",
  title =        "A Handbook of Statistical Analyses using {S-PLUS}",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  edition =      "Second",
  pages =        "xiii + 240",
  year =         "2002",
  ISBN =         "1-58488-280-8",
  ISBN-13 =      "978-1-58488-280-0",
  LCCN =         "QA276.4.E93 1994",
  bibdate =      "Thu Jan 08 08:13:27 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Book{Fox:2002:RPC,
  author =       "John Fox",
  title =        "An {R} and {S-Plus} companion to applied regression",
  publisher =    "Sage Publications",
  address =      "Thousand Oaks, CA, USA",
  pages =        "xvi + 312",
  year =         "2002",
  ISBN =         "0-7619-2279-2, 0-7619-2280-6 (paperback)",
  ISBN-13 =      "978-0-7619-2279-7, 978-0-7619-2280-3 (paperback)",
  LCCN =         "QA278.2 .F628 2002",
  bibdate =      "Fri Sep 13 13:03:56 MDT 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  keywords =     "R (computer programming language); regression analysis
                 -- data processing; S-Plus",
}

@Article{Leisch:2002:SPM,
  author =       "Friedrich Leisch",
  title =        "{Sweave}, {Part I}: Mixing {R} and {\LaTeX}",
  journal =      "R News",
  volume =       "2",
  number =       "3",
  pages =        "28--31",
  month =        dec,
  year =         "2002",
  bibdate =      "Sat Jul 05 19:24:59 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/litprog.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.statistik.lmu.de/~leisch/Sweave/Sweave-Rnews-2002-3.pdf",
  acknowledgement = ack-nhfb,
}

@Article{Lund:2002:BRB,
  author =       "Ulric J. Lund",
  title =        "Book Review: {{\booktitle{Understanding Statistical
                 Concepts Using S-Plus}}}",
  journal =      j-AMER-STAT,
  volume =       "56",
  number =       "3",
  pages =        "249--??",
  month =        aug,
  year =         "2002",
  CODEN =        "ASTAAJ",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Jan 8 07:06:51 MST 2004",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Review of \cite{Schumacker:2001:USC}.",
  URL =          "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v56n3/s18/p249",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Article{Lund:2002:BRBa,
  author =       "Ulric J. Lund",
  title =        "Book Review: {{\booktitle{Understanding Statistical
                 Concepts Using S-Plus}}}",
  journal =      j-AMER-STAT,
  volume =       "56",
  number =       "3",
  pages =        "249--??",
  month =        aug,
  year =         "2002",
  CODEN =        "ASTAAJ",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Jan 8 07:06:51 MST 2004",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v56n3/s18/p249",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Book{Millard:2002:EPU,
  author =       "Steven P. Millard",
  title =        "{EnvironmentalStats} for {S-PLUS}: user's manual for
                 version 2.0",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Second",
  pages =        "xiii + 264",
  year =         "2002",
  ISBN =         "0-387-95398-1",
  ISBN-13 =      "978-0-387-95398-4",
  LCCN =         "GE45.S73 M52 2002",
  bibdate =      "Fri Sep 13 13:03:56 MDT 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  keywords =     "environmental sciences -- statistical methods -- data
                 processing; S-Plus",
}

@Book{Venables:2002:IRN,
  author =       "W. N. (William N.) Venables and D. M. (David M.)
                 Smith",
  title =        "An introduction to {R}: notes on {R}: a programming
                 environment for data analysis and graphics, version
                 1.4.1",
  publisher =    pub-NETWORK-THEORY,
  address =      pub-NETWORK-THEORY:adr,
  pages =        "vi + 139",
  year =         "2002",
  ISBN =         "0-9541617-4-2",
  ISBN-13 =      "978-0-9541617-4-3",
  LCCN =         "QA276.4 .V45 2001",
  bibdate =      "Mon Jul 4 15:50:14 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  acknowledgement = ack-nhfb,
  subject =      "Statistics; Data processing; R (Computer program
                 language)",
}

@Book{Venables:2002:MAS,
  author =       "W. N. (William N.) Venables and Brian D. Ripley",
  title =        "Modern Applied Statistics with {S}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Fourth",
  pages =        "xi + 495",
  year =         "2002",
  ISBN =         "0-387-95457-0",
  ISBN-13 =      "978-0-387-95457-8",
  LCCN =         "QA276.4 .V46 2002",
  bibdate =      "Mon Jul 04 16:15:09 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  remark =       "Previously published as \cite{Venables:1999:MAS}.",
}

@Article{Weisberg:2002:DRR,
  author =       "Sanford Weisberg",
  title =        "Dimension Reduction Regression in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "1",
  pages =        "1--22",
  year =         "2002",
  CODEN =        "JSSOBK",
  ISSN =         "????",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v07/i01;
                 http://www.jstatsoft.org/v07/i01/dr_1.0.tar.gz;
                 http://www.jstatsoft.org/v07/i01/drdoc.pdf;
                 http://www.jstatsoft.org/v07/i01/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "R; S-Plus",
}

@Article{Zeileis:2002:SRP,
  author =       "Achim Zeileis and Friedrich Leisch and Kurt Hornik and
                 Christian Kleiber",
  title =        "{strucchange}: an {R} package for Testing for
                 Structural Change in Linear Regression Models",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "2",
  pages =        "1--38",
  year =         "2002",
  CODEN =        "JSSOBK",
  ISSN =         "????",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v07/i02;
                 http://www.jstatsoft.org/v07/i02/strucchange.pdf;
                 http://www.jstatsoft.org/v07/i02/strucchange_0.9-5.tar.gz;
                 http://www.jstatsoft.org/v07/i02/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "R; S-Plus",
}

@Article{Ziegel:2002:BRBag,
  author =       "Eric R. Ziegel",
  title =        "Book Review: {{\booktitle{A Handbook of Statistical
                 Analyses Using S-PLUS}} by Brian S. Everitt}",
  journal =      j-TECHNOMETRICS,
  volume =       "44",
  number =       "3",
  pages =        "300--300",
  month =        aug,
  year =         "2002",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1270517",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:50 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254390;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/1270517",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Ziegel:2002:BRBx,
  author =       "Eric R. Ziegel",
  title =        "Book Review: {{\booktitle{Analyzing Medical Data Using
                 S-PLUS}} by B. S. Everitt; Sophia Rabe-Hesketh}",
  journal =      j-TECHNOMETRICS,
  volume =       "44",
  number =       "2",
  pages =        "201--202",
  month =        may,
  year =         "2002",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/1271291",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:48 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i254389;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/1271291",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Anonymous:2003:BRBam,
  author =       "Anonymous",
  title =        "Book Review: {{\booktitle{Modeling Financial Time
                 Series with S-PLUS{\reg}}} by Eric Zivot; Jiahui
                 Wang}",
  journal =      j-TECHNOMETRICS,
  volume =       "45",
  number =       "4",
  pages =        "373--374",
  month =        nov,
  year =         "2003",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25047114",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:57 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25047080;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25047114",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Anonymous:2003:BRBu,
  author =       "Anonymous",
  title =        "Book Review: {{\booktitle{The Basics of S-PLUS}} by
                 Andreas Krause; Melvin Olson}",
  journal =      j-TECHNOMETRICS,
  volume =       "45",
  number =       "2",
  pages =        "183--183",
  month =        may,
  year =         "2003",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25047039",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:54 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25047007;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25047039",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Contoni:2003:RNS,
  author =       "Eva Contoni",
  title =        "Resistant Nonparametric Smoothing with {S-PLUS}",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "3",
  pages =        "??--??",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  ISSN =         "????",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i03;
                 http://www.jstatsoft.org/v08/i03/;
                 http://www.jstatsoft.org/v08/i03/updates;
                 http://www.jstatsoft.org/v08/i03/v8.txt",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxnote =       "Check publication data: no longer at journal Web
                 site??",
}

@Article{Cowles:2003:BRB,
  author =       "Mary Kathryn Cowles",
  title =        "Book Review: {{\booktitle{An R and S-PLUS Companion to
                 Applied Regression}}}",
  journal =      j-AMER-STAT,
  volume =       "57",
  number =       "4",
  pages =        "316--??",
  month =        nov,
  year =         "2003",
  CODEN =        "ASTAAJ",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Jan 8 07:07:00 MST 2004",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Review of \cite{Fox:2002:RPC}.",
  URL =          "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v57n4/s16/p316",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Article{Dawson:2003:BRB,
  author =       "Jeffrey D. Dawson",
  title =        "Book Review: {{\booktitle{Analyzing Medical Data Using
                 S-PLUS}}, by Brian Everitt; Sophia Rabe-Hesketh}",
  journal =      j-J-AM-STAT-ASSOC,
  volume =       "98",
  number =       "463",
  pages =        "773--774",
  month =        sep,
  year =         "2003",
  CODEN =        "JSTNAL",
  ISSN =         "0162-1459 (print), 1537-274X (electronic)",
  ISSN-L =       "0162-1459",
  bibdate =      "Wed Jan 25 08:06:27 MST 2012",
  bibsource =    "http://www.jstor.org/journals/01621459.html;
                 http://www.jstor.org/stable/i30045274;
                 http://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/30045317",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of the American Statistical Association",
  journal-URL =  "http://www.tandfonline.com/loi/uasa20",
}

@Article{Eastwood:2003:BRB,
  author =       "Brian J. Eastwood",
  title =        "Book Review: {{\booktitle{Applied Statistics in the
                 Pharmaceutical Industry with Case Studies Using
                 S-PLUS}}, by Steven P. Millard; Andreas Krause}",
  journal =      j-J-AM-STAT-ASSOC,
  volume =       "98",
  number =       "461",
  pages =        "250--250",
  month =        mar,
  year =         "2003",
  CODEN =        "JSTNAL",
  ISSN =         "0162-1459 (print), 1537-274X (electronic)",
  ISSN-L =       "0162-1459",
  bibdate =      "Tue Dec 16 18:18:46 MST 2003",
  bibsource =    "http://www.amstat.org/publications/jasa/;
                 http://www.jstor.org/journals/01621459.html;
                 http://www.jstor.org/stable/i30045186;
                 http://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/30045215",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of the American Statistical Association",
  journal-URL =  "http://www.tandfonline.com/loi/uasa20",
}

@Article{Firth:2003:CFP,
  author =       "David Firth",
  title =        "{CGIwithR}: Facilities for processing {Web} forms
                 using {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "10",
  pages =        "1--8",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i10;
                 http://www.jstatsoft.org/v08/i10/CGIwithR-overview.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Fox:2003:EDR,
  author =       "John Fox",
  title =        "Effect Displays in {R} for Generalised Linear Models",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "15",
  pages =        "1--27",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i15;
                 http://www.jstatsoft.org/v08/i15/effect-displays-revised.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Koenker:2003:SSM,
  author =       "Roger Koenker and Pin Ng",
  title =        "{{\tt SparseM}}: {A} Sparse Matrix Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "6",
  pages =        "1--9",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i06/SparseM.pdf;
                 http://www.jstatsoft.org/v08/i6",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Kuonen:2003:NIP,
  author =       "Diego Kuonen",
  title =        "Numerical Integration in {S-PLUS} or {R}: {A} Survey",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "13",
  pages =        "1--14",
  year =         "2003",
  CODEN =        "JSSOBK",
  ISSN =         "????",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i13;
                 http://www.jstatsoft.org/v08/i13/article.pdf",
  abstract =     "This paper reviews current quadrature methods for
                 approximate calculation of integrals within S-Plus or
                 R. Starting with the general framework, Gaussian
                 quadrature will be discussed first, followed by
                 adaptive rules and Monte Carlo methods. Finally, a
                 comparison of the methods presented is given. The aim
                 of this survey paper is to help readers, not expert in
                 computing, to apply numerical integration methods and
                 to realize that numerical analysis is an art, not a
                 science.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "Adaptive method; Comparison; Gaussian quadrature;
                 Monte Carlo method; Quadrature",
}

@Article{Kushler:2003:BRB,
  author =       "Robert Kushler",
  title =        "Book Review: {{\booktitle{Statistical Computing: An
                 Introduction to Data Analysis Using S-PLUS}} by Michael
                 J. Crawley}",
  journal =      j-TECHNOMETRICS,
  volume =       "45",
  number =       "4",
  pages =        "369--369",
  month =        nov,
  year =         "2003",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25047104",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:57 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25047080;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25047104",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Leisch:2003:SPI,
  author =       "Friedrich Leisch",
  title =        "{Sweave}, {Part II}: Package Vignettes",
  journal =      "R News",
  volume =       "3",
  number =       "2",
  pages =        "21--24",
  month =        oct,
  year =         "2003",
  bibdate =      "Sat Jul 05 19:24:59 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/litprog.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.statistik.lmu.de/~leisch/Sweave/Sweave-Rnews-2003-2.pdf",
  acknowledgement = ack-nhfb,
}

@Article{Ligges:2003:SRP,
  author =       "Uwe Ligges and Martin M{\"a}chler",
  title =        "{{\tt Scatterplot3d}} --- an {R} package for
                 Visualizing Multivariate Data",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "11",
  pages =        "1--20",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i11;
                 http://www.jstatsoft.org/v08/i11/JSSs3d.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Book{Maindonald:2003:DAG,
  author =       "J. H. (John Hilary) Maindonald and John Braun",
  title =        "Data analysis and graphics using {R}: an example-based
                 approach",
  publisher =    pub-CAMBRIDGE,
  address =      pub-CAMBRIDGE:adr,
  pages =        "xxiii + 362",
  year =         "2003",
  ISBN =         "0-521-81336-0",
  ISBN-13 =      "978-0-521-81336-5",
  LCCN =         "QA276.4 .M245 2003",
  bibdate =      "Mon Jul 4 16:19:30 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Cambridge series in statistical and probabilistic
                 mathematics",
  URL =          "ftp://uiarchive.cso.uiuc.edu/pub/etext/gutenberg/;
                 http://www.loc.gov/catdir/description/cam031/2002031560.html;
                 http://www.loc.gov/catdir/toc/cam031/2002031560.html",
  acknowledgement = ack-nhfb,
  subject =      "Statistics; Data processing; Statistics; Graphic
                 methods; Data processing; R (Computer program
                 language)",
}

@Article{Manola:2003:BRB,
  author =       "Judith Manola",
  title =        "Book Review: {{\booktitle{A Handbook of Statistical
                 Analyses using S-Plus} (2nd ed.)}}",
  journal =      j-AMER-STAT,
  volume =       "57",
  number =       "2",
  pages =        "146--??",
  month =        may,
  year =         "2003",
  CODEN =        "ASTAAJ",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Jan 8 07:06:56 MST 2004",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  note =         "Review of \cite{Everitt:2002:HSA}.",
  URL =          "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v57n2/s19/p146",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Article{Murdoch:2003:ORP,
  author =       "Duncan Murdoch",
  title =        "{{\tt Orientlib}}: An {R} Package for Orientation
                 Data",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "19",
  pages =        "1--11",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i19;
                 http://www.jstatsoft.org/v08/i19/orientlib_paper.pdf",
  abstract =     "{\tt Orientlib} is an R package to facilitate working
                 with orientation data, i.e. elements of SO(3). It
                 provides automatic translation between different
                 representations of orientations, including rotation
                 matrices, quaternions, Euler angles and skew-symmetric
                 matrices; it also has functions for fitting regression
                 models and displaying orientations. This paper reviews
                 simple properties of orientation data and describes
                 {\tt Orientlib}.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "Euler angles; orientation data; quaternions; rotation
                 matrices; SO(3)",
}

@Article{Peng:2003:MDP,
  author =       "Roger D. Peng",
  title =        "Multi-dimensional Point Process Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "16",
  pages =        "1--27",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i16;
                 http://www.jstatsoft.org/v08/i16/ptprocR102.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Sandry:2003:BRBb,
  author =       "Thomas D. Sandry",
  title =        "Book Review: {{\booktitle{Introductory Statistics with
                 R}} by Peter Dalgaard}",
  journal =      j-TECHNOMETRICS,
  volume =       "45",
  number =       "3",
  pages =        "274--275",
  month =        aug,
  year =         "2003",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25047066",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:20:56 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25047044;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25047066",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Book{Zivot:2003:MFT,
  author =       "Eric Zivot and Jiahui Wang",
  title =        "Modeling financial time series with {S-Plus}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xix + 632",
  year =         "2003",
  ISBN =         "0-387-95549-6 (paperback), 0-387-91624-5 (paperback)",
  ISBN-13 =      "978-0-387-95549-0 (paperback), 978-0-387-91624-8
                 (paperback)",
  LCCN =         "HG106 .Z584 2003",
  bibdate =      "Thu Oct 20 05:53:01 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 melvyl.cdlib.org:210/CDL90",
  acknowledgement = ack-nhfb,
  subject =      "S-Plus; Finance; Mathematical models; Time-series
                 analysis; Finance; Econometric models",
}

@Article{Anderson-Cook:2004:BRBc,
  author =       "Christine M. Anderson-Cook",
  title =        "Book Review: {{\booktitle{Statistical Tools for
                 Nonlinear Regression: A Practical Guide with S-PLUS and
                 R Examples}, second edition}, by S. Huet; A. Bouvier;
                 M.-A. Poursat; E. Jolivet}",
  journal =      j-J-AM-STAT-ASSOC,
  volume =       "99",
  number =       "467",
  pages =        "902--903",
  month =        sep,
  year =         "2004",
  CODEN =        "JSTNAL",
  ISSN =         "0162-1459 (print), 1537-274X (electronic)",
  ISSN-L =       "0162-1459",
  bibdate =      "Wed Jan 25 08:06:28 MST 2012",
  bibsource =    "http://www.amstat.org/publications/jasa/;
                 http://www.jstor.org/journals/01621459.html;
                 http://www.jstor.org/stable/i27590430;
                 http://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://miranda.asa.catchword.org/vl=1515603/cl=66/nw=1/rpsv/cw/asa/01621459/v99n467/s52/p904;
                 http://www.jstor.org/stable/27590464",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of the American Statistical Association",
  journal-URL =  "http://www.tandfonline.com/loi/uasa20",
}

@Book{Atkinson:2004:EMD,
  author =       "Anthony C. Atkinson and Marco Riani and Andrea
                 Cerioli",
  title =        "Exploring Multivariate Data with the Forward Search",
  volume =       "??",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xxi + 621",
  year =         "2004",
  CODEN =        "????",
  DOI =          "http://dx.doi.org/10.1007/978-0-387-21840-3",
  ISBN =         "0-387-21840-8",
  ISBN-13 =      "978-0-387-21840-3",
  ISSN =         "0172-7397",
  ISSN-L =       "0172-7397",
  LCCN =         "QA278 .A85 2004",
  bibdate =      "Thu Jun 19 06:41:19 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/probstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Springer Series in Statistics",
  URL =          "http://link.springer.com/book/10.1007/978-0-387-21840-3",
  abstract =     "The forward search provides a method of revealing the
                 structure of data through a mixture of model fitting
                 and informative plots. The continuous multivariate data
                 that are the subject of this book are often analyzed as
                 if they come from one or more normal distributions.
                 Such analyses, including the need for transformation,
                 may be distorted by the presence of unidentified
                 subsets and outliers, both individual and clustered.
                 These important features are disguised by the standard
                 procedures of multivariate analysis. The book
                 introduces methods that reveal the effect of each
                 observation on fitted models and inferences. The
                 powerful methods of data analysis will be of importance
                 to scientists and statisticians. Although the emphasis
                 is on the analysis of data, theoretical developments
                 make the book suitable for a graduate statistical
                 course on multivariate analysis. Topics covered include
                 principal components analysis, discriminant analysis,
                 cluster analysis and the analysis of spatial data.
                 S-Plus programs for the forward search are available on
                 a web site. This book is a companion to Atkinson and
                 Riani's Robust Diagnostic Regression Analysis of which
                 the reviewer for The Journal of the Royal Statistical
                 Society wrote ``I read this book, compulsive reading
                 such as it was, in three sittings.'' Anthony Atkinson
                 is Emeritus Professor of Statistics at the London
                 School of Economics. He is also the author of Plots,
                 Transformations, and Regression and coauthor of Optimum
                 Experimental Designs. Professor Atkinson has served as
                 Editor of The Journal of the Royal Statistical Society,
                 Series B.",
  acknowledgement = ack-nhfb,
  remark =       "Most volumes in this series are unnumbered.",
  series-URL =   "http://link.springer.com/bookseries/692",
  subject =      "Multivariate analysis; Multivariate analysis;
                 Multivariate analyse; An{\'a}lise multivariada;
                 Multivariate Analyse.",
  tableofcontents = "Examples of Multivariate Data \\
                 Multivariate Data and the Forward Search \\
                 Data from One Multivariate Distribution \\
                 Multivariate Transformations to Normality \\
                 Principal Components Analysis \\
                 Discriminant Analysis \\
                 Cluster Analysis \\
                 Spatial Linear Models",
}

@Article{Bates:2004:BRB,
  author =       "Samantha C. Bates",
  title =        "Book Review: {{\booktitle{Introductory Statistics with
                 R}}}",
  journal =      j-AMER-STAT,
  volume =       "58",
  number =       "1",
  pages =        "88--??",
  month =        feb,
  year =         "2004",
  CODEN =        "ASTAAJ",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Fri Feb 20 06:14:28 MST 2004",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v58n1/s20/p88",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Article{Cantoni:2004:RNS,
  author =       "Eva Cantoni",
  title =        "Resistant Nonparametric Smoothing with {S-PLUS}",
  journal =      j-J-STAT-SOFT,
  volume =       "10",
  number =       "2",
  pages =        "1--6",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=93&url=v10/i02/Mspline4.pdf&ct=1",
  accepted =     "2004-04-26",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2002-07-17",
}

@Book{Carmona:2004:SAF,
  author =       "R. (Ren{\'e}) Carmona",
  title =        "Statistical analysis of financial data in {S-PLUS}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xvi + 451",
  year =         "2004",
  ISBN =         "0-387-20286-2",
  ISBN-13 =      "978-0-387-20286-0",
  LCCN =         "HG106 .C37 2004",
  bibdate =      "Thu Jul 10 08:12:40 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Springer texts in statistics",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0818/2003066218-d.html;
                 http://www.loc.gov/catdir/toc/fy044/2003066218.html",
  acknowledgement = ack-nhfb,
  remark =       "Based on the author's lecture notes for a course at
                 Princeton University.",
  subject =      "Finance; Mathematical models; Econometric models;
                 S-Plus",
}

@Book{Heiberger:2004:SAD,
  author =       "Richard M. Heiberger and Burt Holland",
  title =        "Statistical analysis and data display: an intermediate
                 course with examples in {S-plus}, {R}, and {SAS}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xxiv + 729",
  year =         "2004",
  ISBN =         "0-387-40270-5",
  ISBN-13 =      "978-0-387-40270-3",
  LCCN =         "QA276.4 .H445 2004",
  bibdate =      "Mon Jul 4 16:49:12 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Springer texts in statistics",
  acknowledgement = ack-nhfb,
  subject =      "Mathematical statistics; Data processing; Statistics;
                 Data processing; S-Plus; R (Computer programming
                 language); SAS (Computer file)",
}

@Article{Hojsgaard:2004:MPG,
  author =       "S{\o}ren H{\o}jsgaard",
  title =        "The {{\tt mimR}} Package for Graphical Modelling in
                 {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "6",
  pages =        "1--13",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=102&url=v11/i06/v11i06.pdf&ct=1",
  accepted =     "2004-10-02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2004-07-06",
}

@Article{Horton:2004:URT,
  author =       "Nicholas J. Horton and Elizabeth R. Brown and Linjuan
                 Qian",
  title =        "Use of {R} as a Toolbox for Mathematical Statistics
                 Exploration",
  journal =      j-AMER-STAT,
  volume =       "58",
  number =       "4",
  pages =        "343--357",
  month =        nov,
  year =         "2004",
  CODEN =        "ASTAAJ",
  DOI =          "http://pubs.amstat.org/doi/pdfplus/10.1198/000313004X5572",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Fri Jan 27 18:16:35 MST 2012",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.jstor.org/journals/00031305.html;
                 http://www.jstor.org/stable/i27643578;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27643595",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Book{Huet:2004:STN,
  author =       "S. (Sylvie) Huet and Annie Bouvier and Marie-Anne
                 Poursat and Emmanuel Jolivet",
  title =        "Statistical tools for nonlinear regression: a
                 practical guide with {S-PLUS} and {R} examples",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Second",
  pages =        "xiv + 232",
  year =         "2004",
  ISBN =         "0-387-40081-8",
  ISBN-13 =      "978-0-387-40081-5",
  LCCN =         "QA278.2 .H84 2004",
  bibdate =      "Mon Jul 4 16:33:45 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Springer series in statistics",
  acknowledgement = ack-nhfb,
  subject =      "Regression analysis; Nonlinear theories; Parameter
                 estimation",
}

@Article{Karatzoglou:2004:KSP,
  author =       "Alexandros Karatzoglou and Alex Smola and Kurt Hornik
                 and Achim Zeileis",
  title =        "{\tt kernlab} --- An {S4} Package for Kernel Methods
                 in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "9",
  pages =        "1--20",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=105&url=v11/i09/v11i09.pdf&ct=1",
  accepted =     "2004-11-02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2004-08-15",
}

@Article{Leisch:2004:FGF,
  author =       "Friedrich Leisch",
  title =        "{FlexMix}: {A} General Framework for Finite Mixture
                 Models and Latent Class Regression in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "8",
  pages =        "1--18",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=104&url=v11/i08/v11i08.pdf&ct=1",
  accepted =     "2004-10-18",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2004-04-19",
}

@Article{McNeil:2004:BRB,
  author =       "Alexander J. McNeil",
  title =        "Book Review: {{\booktitle{Modeling Financial Time
                 Series with S-Plus}}, by Eric Zivot; Jiahui Wang}",
  journal =      j-J-AM-STAT-ASSOC,
  volume =       "99",
  number =       "466",
  pages =        "564--565",
  month =        apr,
  year =         "2004",
  CODEN =        "JSTNAL",
  ISSN =         "0162-1459 (print), 1537-274X (electronic)",
  ISSN-L =       "0162-1459",
  bibdate =      "Wed Jan 25 08:06:28 MST 2012",
  bibsource =    "http://www.amstat.org/publications/jasa/;
                 http://www.jstor.org/journals/01621459.html;
                 http://www.jstor.org/stable/i27590385;
                 http://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://miranda.asa.catchword.org/vl=1515603/cl=66/nw=1/rpsv/cw/asa/01621459/v99n466/s34/p564;
                 http://www.jstor.org/stable/27590420",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of the American Statistical Association",
  journal-URL =  "http://www.tandfonline.com/loi/uasa20",
}

@Book{RDCT:2004:RRM,
  author =       "{R Development Core Team}",
  title =        "The {R} reference manual: base package",
  publisher =    pub-NETWORK-THEORY,
  address =      pub-NETWORK-THEORY:adr,
  pages =        "x + 723 (vol. 1), viii + 695 (vol. 2)",
  year =         "2004",
  ISBN =         "0-9546120-0-0 (vol. 1), 0-9546120-1-9 (vol. 2)",
  ISBN-13 =      "978-0-9546120-0-9 (vol. 1), 978-0-9546120-1-6 (vol.
                 2)",
  LCCN =         "QA76.7 RRE",
  bibdate =      "Mon Jul 4 16:38:55 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 library.ox.ac.uk:210/ADVANCE",
  acknowledgement = ack-nhfb,
  remark =       "Version 1.8.1.",
  subject =      "R (Computer programming language); Statistics; Data
                 processing",
}

@Book{Venables:2004:IRN,
  editor =       "W. N. (William N.) Venables",
  title =        "An introduction to {R}: notes on {R}: a programming
                 environment for data analysis and graphics, version
                 1.9.1",
  publisher =    pub-NETWORK-THEORY,
  address =      pub-NETWORK-THEORY:adr,
  edition =      "Second printing, revised and updated",
  pages =        "vi + 146",
  year =         "2004",
  ISBN =         "0-9541617-4-2 (paperback)",
  ISBN-13 =      "978-0-9541617-4-3 (paperback)",
  bibdate =      "Mon Jul 4 15:57:52 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.libris.kb.se:210/libr",
  acknowledgement = ack-nhfb,
  subject =      "R (Computer programming language); Mathematical
                 statistics; Computer programs",
}

@Article{Wiens:2004:MSP,
  author =       "Douglas P. Wiens",
  title =        "{MATCH} --- {A} Software Package for Robust Profile
                 Matching Using {S-Plus}",
  journal =      j-J-STAT-SOFT,
  volume =       "10",
  number =       "1",
  pages =        "1--35",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=91&url=v10/i01/manual2.pdf&ct=1",
  accepted =     "2004-04-26",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2002-10-06",
}

@Article{Ziegel:2004:BRBg,
  author =       "Eric R. Ziegel",
  title =        "Book Review: {{\booktitle{An R and S-PLUS Companion to
                 Applied Regression}} by John Fox}",
  journal =      j-TECHNOMETRICS,
  volume =       "46",
  number =       "3",
  pages =        "371--371",
  month =        aug,
  year =         "2004",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25470872",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:00 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25470840;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25470872",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Baddeley:2005:SRP,
  author =       "Adrian Baddeley and Rolf Turner",
  title =        "{\tt spatstat}: An {R} Package for Analyzing Spatial
                 Point Patterns",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "6",
  pages =        "1--42",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=113&url=v12/i06&ct=2;
                 http://www.jstatsoft.org/counter.php?id=113&url=v12/i06/v12i06.pdf&ct=1",
  accepted =     "2005-01-26",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-01-26",
}

@Book{Box:2005:SED,
  author =       "George E. P. Box and J. Stuart Hunter and William
                 Gordon Hunter",
  title =        "Statistics for experimenters: design, innovation, and
                 discovery",
  publisher =    pub-WILEY-INTERSCIENCE,
  address =      pub-WILEY-INTERSCIENCE:adr,
  edition =      "Second",
  pages =        "xvii + 633",
  year =         "2005",
  ISBN =         "0-471-71813-0",
  ISBN-13 =      "978-0-471-71813-0",
  LCCN =         "QA279 .B69 2005",
  bibdate =      "Wed Sep 15 09:42:59 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Wiley series in probability and statistics",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0619/2004063780-b.html;
                 http://www.loc.gov/catdir/enhancements/fy0619/2004063780-d.html;
                 http://www.loc.gov/catdir/toc/wiley051/2004063780.html;
                 http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471718130.html",
  acknowledgement = ack-nhfb,
  subject =      "experimental design; analysis of variance;
                 mathematical statistics",
}

@Article{Brezger:2005:BAB,
  author =       "Andreas Brezger and Thomas Kneib and Stefan Lang",
  title =        "{BayesX}: Analyzing {Bayesian} Structural Additive
                 Regression Models",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "11",
  pages =        "1--22",
  day =          "9",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=136&url=v14/i11&ct=2;
                 http://www.jstatsoft.org/counter.php?id=136&url=v14/i11/v14i11.pdf&ct=1",
  abstract =     "There has been much recent interest in Bayesian
                 inference for generalized additive and related models.
                 The increasing popularity of Bayesian methods for these
                 and other model classes is mainly caused by the
                 introduction of Markov chain Monte Carlo (MCMC)
                 simulation techniques which allow realistic modeling of
                 complex problems. This paper describes the capabilities
                 of the free software package {\tt BayesX} for
                 estimating regression models with structured additive
                 predictor based on MCMC inference. The program extends
                 the capabilities of existing software for
                 semiparametric regression included in S-PLUS, SAS, R or
                 Stata. Many model classes well known from the
                 literature are special cases of the models supported by
                 BayesX. Examples are generalized additive (mixed)
                 models, dynamic models, varying coefficient models,
                 geoadditive models, geographically weighted regression
                 and models for space-time regression. BayesX supports
                 the most common distributions for the response
                 variable. For univariate responses these are Gaussian,
                 Binomial, Poisson, Gamma, negative Binomial, zero
                 inflated Poisson and zero inflated negative binomial.
                 For multicategorical responses, both multinomial logit
                 and probit models for unordered categories of the
                 response as well as cumulative threshold models for
                 ordered categories can be estimated. Moreover, BayesX
                 allows the estimation of complex continuous time
                 survival and hazard rate models.",
  accepted =     "2005-09-09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "geoadditive models; MCMC; mixed models; space-time
                 regression; structured additive regression",
  submitted =    "2004-06-18",
}

@Article{Buttrey:2005:CLL,
  author =       "Samuel E. Buttrey",
  title =        "Calling the {\tt lp\_solve} Linear Program Software
                 from {R}, {S-PLUS} and {Excel}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "4",
  pages =        "1--13",
  day =          "1",
  month =        may,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=129&url=v14/i04&ct=2;
                 http://www.jstatsoft.org/counter.php?id=129&url=v14/i04/v14i04.pdf&ct=1",
  accepted =     "2005-05-01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-05-01",
}

@Book{Crawley:2005:SIU,
  author =       "Michael J. Crawley",
  title =        "Statistics: an introduction using {R}",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "xiii + 327",
  year =         "2005",
  ISBN =         "0-470-02297-3 (hardback), 0-470-02298-1 (paperback)",
  ISBN-13 =      "978-0-470-02297-9 (hardback), 978-0-470-02298-6
                 (paperback)",
  LCCN =         "QA276.12 .C73 2005",
  bibdate =      "Mon Jul 4 16:35:33 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "ftp://uiarchive.cso.uiuc.edu/pub/etext/gutenberg/;
                 http://www.imperial.ac.uk/bio/research/crawley/statistics;
                 http://www.loc.gov/catdir/toc/ecip053/2004026793.html",
  acknowledgement = ack-nhfb,
  subject =      "Mathematical statistics; Textbooks; R (Computer
                 programming language)",
}

@Article{Dejean:2005:FRP,
  author =       "S{\'e}bastien D{\'e}jean and Serge Cohen",
  title =        "{FracSim}: An {R} Package to Simulate Multifractional
                 {L{\'e}vy} Motions",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "18",
  pages =        "1--19",
  month =        dec,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v14/i18",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-10-06; Accepted 2005-12-08",
}

@Article{deLeeuw:2005:BRBa,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{Correspondence Analysis and
                 Data Coding with Java and R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "BR-5",
  pages =        "1--2",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v14/b05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-09-08; Accepted 2005-09-08",
}

@Article{deLeeuw:2005:BRBb,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{An R and S-PLUS Companion to
                 Multivariate Analysis}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "BR-6",
  pages =        "1--3",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v14/b06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-09-16; Accepted 2005-09-16",
}

@Article{Dias:2005:SAF,
  author =       "Alexandra Dias",
  title =        "Statistical Analysis of Financial Data in {S-Plus}",
  journal =      j-AMER-STAT,
  volume =       "59",
  number =       "4",
  pages =        "351--351",
  month =        nov,
  year =         "2005",
  CODEN =        "ASTAAJ",
  DOI =          "http://pubs.amstat.org/doi/pdfplus/10.1198/tas.2005.s34",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Aug 26 21:48:26 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Book{Everitt:2005:RPC,
  author =       "Brian S. Everitt",
  title =        "An {R} and {S-PLUS} companion to multivariate
                 analysis",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xiii + 221",
  year =         "2005",
  ISBN =         "1-85233-882-2",
  ISBN-13 =      "978-1-85233-882-4",
  LCCN =         "QA278 .E926 2005",
  bibdate =      "Mon Jul 4 16:31:29 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Springer texts in statistics",
  acknowledgement = ack-nhfb,
  subject =      "Multivariate analysis; S-Plus; R (Computer program
                 language)",
}

@Book{Faraway:2005:LMR,
  author =       "Julian James Faraway",
  title =        "Linear models with {R}",
  volume =       "63",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  pages =        "x + 229",
  year =         "2005",
  ISBN =         "1-58488-425-8",
  ISBN-13 =      "978-1-58488-425-5",
  LCCN =         "QA279 .F37 2005",
  bibdate =      "Mon Jul 4 16:28:36 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Texts in statistical science",
  acknowledgement = ack-nhfb,
  subject =      "Analysis of variance; Regression analysis",
}

@Article{Firth:2005:BTM,
  author =       "David Firth",
  title =        "{Bradley--Terry} Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "1",
  pages =        "1--12",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=107&url=v12/i01&ct=2;
                 http://www.jstatsoft.org/counter.php?id=107&url=v12/i01/v12i01.pdf&ct=1",
  accepted =     "2005-01-07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-01-07",
}

@Article{Fox:2005:BRB,
  author =       "John Fox",
  title =        "Book Review: {{\booktitle{The Basics of S-Plus, Fourth
                 Edition}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "BR-8",
  pages =        "1--3",
  month =        dec,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v14/b08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-12-15; Accepted 2005-12-15",
}

@Article{Fox:2005:RCB,
  author =       "John Fox",
  title =        "The {R Commander}: {A} Basic-Statistics Graphical User
                 Interface to {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "9",
  pages =        "1--42",
  day =          "19",
  month =        aug,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=134&url=v14/i09&ct=2;
                 http://www.jstatsoft.org/counter.php?id=134&url=v14/i09/v14i09.pdf&ct=1",
  abstract =     "Unlike S-PLUS, R does not incorporate a statistical
                 graphical user interface (GUI), but it does include
                 tools for building GUIs. Based on the {\tt tcltk}
                 package (which furnishes an interface to the Tcl/Tk GUI
                 toolkit), the {\tt Rcmdr} package provides a
                 basic-statistics graphical user interface to R called
                 the R Commander. The design objectives of the R
                 Commander were as follows: to support, through an
                 easy-to-use, extensible, crossplatform GUI, the
                 statistical functionality required for a
                 basic-statistics course (though its current
                 functionality has grown to include support for linear
                 and generalized-linear models, and other more advanced
                 features); to make it relatively di cult to do
                 unreasonable things; and to render visible the
                 relationship between choices made in the GUI and the R
                 commands that they generate. The R Commander uses a
                 simple and familiar menu/dialog-box interface.
                 Top-level menus include File, Edit, Data, Statistics,
                 Graphs, Models, Distributions, Tools, and Help, with
                 the complete menu tree given in the paper. Each dialog
                 box includes a Help button, which leads to a relevant
                 help page. Menu and dialog-box selections generate R
                 commands, which are recorded in a script window and are
                 echoed, along with output, to an output window. The
                 script window also provides the ability to edit, enter,
                 and re-execute commands. Error messages, warnings, and
                 some other information appear in a separate messages
                 window. Data sets in the R Commander are simply R data
                 frames, and can be read from attached packages or
                 imported from files. Although several data frames may
                 reside in memory, only one is active at any given time.
                 There may also be an active statistical model (e.g., an
                 R lm or glm object). The purpose of this paper is to
                 introduce and describe the use of the R Commander GUI;
                 to describe the design and development of the R
                 Commander; and to explain how the R Commander GUI can
                 be extended. The second part of the paper (following a
                 brief introduction) can serve as an introductory guide
                 for students who will use the R Commander",
  accepted =     "2005-08-19",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "R language; statistical education; statistical GUI;
                 statistical software",
  submitted =    "2004-07-22",
}

@Book{Gentleman:2005:BCB,
  editor =       "Robert Gentleman and Rafael A. Irizarry and Wolfgang
                 Huber and Sandrine Dudoit and Vincent J. Carey",
  title =        "Bioinformatics and computational biology solutions
                 using {R} and {Bioconductor}",
  publisher =    "Springer Science+Business Media",
  address =      "New York, NY, USA",
  pages =        "xix + 473",
  year =         "2005",
  ISBN =         "0-387-25146-4",
  ISBN-13 =      "978-0-387-25146-2",
  LCCN =         "QH324.2 .B5473 2005",
  bibdate =      "Thu Jul 10 08:33:13 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Statistics for biology and health",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0662/2005923843-d.html;
                 http://www.loc.gov/catdir/enhancements/fy0818/2005923843-t.html",
  acknowledgement = ack-nhfb,
  subject =      "Bioinformatics; Bioconductor (Computer file); R
                 (Computer program language)",
  tableofcontents = "Sequence databases / Rolf Apweiler \\
                 Mapping databases / Tara Matise and Peter S. White \\
                 Information retrieval from biological databases /
                 Andreas D. Baxevanis \\
                 Genomic databases / Tyra Wolfsberg \\
                 Predictive methods using DNA sequences / Roderic
                 Guig{\'o} and Enrique Blanco \\
                 Predictive methods using RNA sequences / Michael Zucker
                 and David Mathews \\
                 Sequence polymorphisms / James C. Mullikin and Stephen
                 T. Sherry \\
                 Predictive methods using protein sequences / Burkhard
                 Rost and Yanay Ofran \\
                 Protein structure prediction and analysis / David
                 Wishart \\
                 Intermolecular interactions and biological pathways /
                 Gary D. Bader and Anton J. Enright \\
                 Assessing pairwise sequence similarity: blast and fasta
                 / Andreas D. Baxevanis \\
                 Creation and analysis of protein multiple sequence
                 alignments / Geoffrey J. Barton \\
                 Sequence assembly and finishing methods / Gerard
                 Bouffard, Nancy F. Hansen, and Pamela Jacques Thomas
                 \\
                 Phylogenetic analysis / Fiona S. L. Brinkman \\
                 Computational approaches in comparative genomics /
                 Andreas D. Baxevanis \\
                 Microarray analysis / John Quackenbush \\
                 Proteomics and protein identification / Michael
                 Giddings, Mark R. Holmes, and Kevin Ramkissoon \\
                 Using perl to facilitate biological analysis / Lincoln
                 D. Stein",
}

@Book{Good:2005:IST,
  author =       "Phillip I. Good",
  title =        "Introduction to statistics through resampling methods
                 and {R/S-PLUS}",
  publisher =    pub-WILEY-INTERSCIENCE,
  address =      pub-WILEY-INTERSCIENCE:adr,
  pages =        "xii + 229",
  year =         "2005",
  ISBN =         "0-471-71575-1 (paperback)",
  ISBN-13 =      "978-0-471-71575-7 (paperback)",
  LCCN =         "QA278.8 .G63 2005",
  bibdate =      "Thu Oct 20 05:47:15 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "ftp://uiarchive.cso.uiuc.edu/pub/etext/gutenberg/;
                 http://www.loc.gov/catdir/toc/wiley051/2004061922.html",
  acknowledgement = ack-nhfb,
  subject =      "Resampling (Statistics); S-Plus",
}

@Article{Gould:2005:BRB,
  author =       "Robert Gould",
  title =        "Book Review: {{\booktitle{Using R for Introductory
                 Statistics}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "BR-7",
  pages =        "1--3",
  month =        nov,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v14/b07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-11-09; Accepted 2005-11-09",
}

@Article{Hankin:2005:IBR,
  author =       "Robin K. S. Hankin",
  title =        "Introducing {BACCO}, an {R} Bundle for {Bayesian}
                 Analysis of Computer Code Output",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "16",
  pages =        "1--21",
  day =          "19",
  month =        oct,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=141&url=v14/i16&ct=2;
                 http://www.jstatsoft.org/counter.php?id=141&url=v14/i16/v14i16.pdf&ct=1",
  abstract =     "This paper introduces the BACCO bundle of R routines
                 for carrying out Bayesian analysis of computer code
                 output. The bundle comprises packages {\tt emulator}
                 and {\tt calibrator}, computerized implementations of
                 the ideas of Oakley and O Hagan (2002) and Kennedy and
                 O Hagan (2001a) respectively. The bundle is
                 self-contained and fully documented R code, and
                 includes a toy dataset that furnishes a working example
                 of the functions.\par

                 Package {\tt emulator} carries out Bayesian emulation
                 of computer code output; package {\tt calibrator}
                 allows the incorporation of observational data into
                 model calibration using Bayesian techniques.\par

                 The package is then applied to a dataset taken from
                 climate science.",
  accepted =     "2005-10-19",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "Bayesian analysis; climate modelling; uncertainty in
                 climate prediction",
  submitted =    "2005-06-09",
}

@Article{Hin:2005:ACD,
  author =       "Lin Yee Hin and Vincent Carey",
  title =        "An Algorithm for Clustered Data Generalized Additive
                 Modelling with {S-PLUS}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "8",
  pages =        "1--24",
  day =          "31",
  month =        aug,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=133&url=v14/i08&ct=2;
                 http://www.jstatsoft.org/counter.php?id=133&url=v14/i08/v14i08.pdf&ct=1",
  abstract =     "We present a set of functions in S-PLUS to implement
                 the clustered data generalized additive marginal
                 modelling (CDGAM) strategy proposed by Berhane and
                 Tibshirani (1998). A variety of working correlation
                 structures are supported, and the regression basis may
                 include components from the family of smoothing
                 splines.",
  accepted =     "2005-08-31",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "clustered data analysis; generalized estimating
                 equations",
  submitted =    "2005-01-27",
}

@Article{Hojsgaard:2005:RPG,
  author =       "S{\o}ren H{\o}jsgaard and Ulrich Halekoh and Jun Yan",
  title =        "The {R} Package {\tt geepack} for Generalized
                 Estimating Equations",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "2",
  pages =        "1--11",
  month =        dec,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i02",
  abstract =     "This paper describes the core features of the R
                 package {\tt geepack}, which implements the generalized
                 estimating equations (GEE) approach for fitting
                 marginal generalized linear models to clustered data.
                 Clustered data arise in many applications such as
                 longitudinal data and repeated measures. The GEE
                 approach focuses on models for the mean of the
                 correlated observations within clusters without fully
                 specifying the joint distribution of the observations.
                 It has been widely used in statistical practice. This
                 paper illustrates the application of the GEE approach
                 with {\tt geepack} through an example of clustered
                 binary data.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-06-17; Accepted 2005-12-22",
}

@Article{Imai:2005:MRP,
  author =       "Kosuke Imai and David A. {Van Dyk}",
  title =        "{{\tt MNP}}: {R} Package for Fitting the {Multinomial
                 Probit Model}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "3",
  pages =        "1--32",
  day =          "8",
  month =        may,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=128&url=v14/i03&ct=2;
                 http://www.jstatsoft.org/counter.php?id=128&url=v14/i03/v14i03.pdf&ct=1",
  accepted =     "2005-05-08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-05-08",
}

@Article{Johnstone:2005:ERP,
  author =       "Iain M. Johnstone and Bernard W. Silverman",
  title =        "{EbayesThresh}: {R} Programs for Empirical {Bayes}
                 Thresholding",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "8",
  pages =        "1--38",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=125&url=v12/i08&ct=2;
                 http://www.jstatsoft.org/counter.php?id=125&url=v12/i08/v12i08.pdf&ct=1",
  accepted =     "2005-04-06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-04-06",
}

@Article{Karlis:2005:BPD,
  author =       "Dimitris Karlis and Ioannis Ntzoufras",
  title =        "Bivariate {Poisson} and Diagonal Inflated Bivariate
                 {Poisson} Regression Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "10",
  pages =        "1--36",
  day =          "5",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=135&url=v14/i10&ct=2;
                 http://www.jstatsoft.org/counter.php?id=135&url=v14/i10/v14i10.pdf&ct=1",
  abstract =     "In this paper we present an R package called {\tt
                 bivpois} for maximum likelihood estimation of the
                 parameters of bivariate and diagonal inflated bivariate
                 Poisson regression models. An Expectation-Maximization
                 (EM) algorithm is implemented. Inflated models allow
                 for modelling both over-dispersion (or
                 under-dispersion) and negative correlation and thus
                 they are appropriate for a wide range of applications.
                 Extensions of the algorithms for several other models
                 are also discussed. Detailed guidance and
                 implementation on simulated and real data sets using
                 {\tt bivpois} package is provided.",
  accepted =     "2005-09-05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "bivariate Poisson distribution; EM algorithm;
                 multivariate count data; R functions; zero and diagonal
                 inflated models",
  submitted =    "2003-11-14",
}

@Book{Krause:2005:BP,
  author =       "Andreas Krause",
  title =        "The basics of {S-Plus}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Fourth",
  pages =        "xxii + 442",
  year =         "2005",
  ISBN =         "0-387-26109-5",
  ISBN-13 =      "978-0-387-26109-6",
  LCCN =         "QA276.4 .K73 2005",
  bibdate =      "Thu Oct 20 05:47:11 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 sirsi.library.utoronto.ca:2200/UNICORN;
                 z3950.loc.gov:7090/Voyager",
  series =       "Statistics, computing",
  acknowledgement = ack-nhfb,
}

@Book{Murtagh:2005:CAD,
  author =       "Fionn Murtagh",
  title =        "Correspondence analysis and data coding with {Java}
                 and {R}",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  pages =        "230",
  year =         "2005",
  ISBN =         "1-58488-528-9",
  ISBN-13 =      "978-1-58488-528-3",
  LCCN =         "QA76.73.J38 M877 2005",
  bibdate =      "Wed Jul 9 11:11:42 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/java2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Computer science and data analysis series",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0648/2005041353-d.html",
  acknowledgement = ack-nhfb,
  remark =       "Foreword by J.-P. Benz{\'e}cri.",
  subject =      "Java (Computer program language); R (Computer program
                 language); Correspondence analysis (Statistics)",
}

@Article{Narasimhan:2005:LSJ,
  author =       "Balasubramanian Narasimhan",
  title =        "{Lisp--Stat} to {Java} to {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "13",
  number =       "4",
  pages =        "1--10",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=118&url=v13/i04&ct=2;
                 http://www.jstatsoft.org/counter.php?id=118&url=v13/i04/v13i04.pdf&ct=1",
  accepted =     "0000-00-00",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  remark =       "Special Volume: Lisp--Stat, Past, Present and Future.
                 Pedro Valero-Mora and Frederic Udina, Guest Editors.",
  submitted =    "0000-00-00",
}

@Article{Prins:2005:LMR,
  author =       "Samantha C. Bates Prins",
  title =        "Linear Models with {R}",
  journal =      j-AMER-STAT,
  volume =       "59",
  number =       "3",
  pages =        "276--276",
  month =        aug,
  year =         "2005",
  CODEN =        "ASTAAJ",
  DOI =          "http://pubs.amstat.org/doi/pdfplus/10.1198/tas.2005.s247",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Aug 26 21:48:26 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Article{Prins:2005:SAD,
  author =       "Samantha C. Bates Prins",
  title =        "Statistical Analysis and Data Display: An Intermediate
                 Course with Examples in {S-Plus}, {R}, and {SAS}",
  journal =      j-AMER-STAT,
  volume =       "59",
  number =       "3",
  pages =        "275--276",
  month =        aug,
  year =         "2005",
  CODEN =        "ASTAAJ",
  DOI =          "http://pubs.amstat.org/doi/pdfplus/10.1198/tas.2005.s246",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Aug 26 21:48:26 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Article{Ritz:2005:BAU,
  author =       "Christian Ritz and Jens C. Streibig",
  title =        "Bioassay Analysis Using {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "5",
  pages =        "1--22",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=112&url=v12/i05&ct=2;
                 http://www.jstatsoft.org/counter.php?id=112&url=v12/i05/v12i05.pdf&ct=1",
  accepted =     "2005-01-19",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-01-19",
}

@Article{Robinson:2005:BRB,
  author =       "Timothy J. Robinson",
  title =        "Book Review: {{\booktitle{Linear Models with R}} by
                 Julian J. Faraway}",
  journal =      j-TECHNOMETRICS,
  volume =       "47",
  number =       "3",
  pages =        "372--373",
  month =        aug,
  year =         "2005",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471031",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:06 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25471016;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471031",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Book{Rossi:2005:BSM,
  author =       "Peter E. (Peter Eric) Rossi and Greg M. (Greg Martin)
                 Allenby and Robert E. (Robert Edward) McCulloch",
  title =        "{Bayesian} statistics and marketing",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "x + 348",
  year =         "2005",
  ISBN =         "0-470-86367-6",
  ISBN-13 =      "978-0-470-86367-1",
  LCCN =         "HF5415.2 .R675 2005",
  bibdate =      "Wed Sep 15 09:41:11 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0622/2005016418-d.html;
                 http://www.loc.gov/catdir/toc/ecip0514/2005016418.html;
                 http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470863676.html",
  acknowledgement = ack-nhfb,
  subject =      "marketing research; mathematical models; marketing;
                 Bayesian statistical decision theory; R (computer
                 programming language); bayesm (R package)",
}

@Book{Scherer:2005:IMP,
  author =       "Bernd Michael Scherer and R. Douglas Martin",
  title =        "Introduction to modern portfolio optimization with
                 {NuOPT} and {S-PLUS}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xxi + 405",
  year =         "2005",
  ISBN =         "0-387-21016-4",
  ISBN-13 =      "978-0-387-21016-2",
  LCCN =         "HG4529.5 .S325 2005",
  bibdate =      "Thu Oct 20 05:47:12 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  acknowledgement = ack-nhfb,
  subject =      "Portfolio management; Data processing",
}

@Book{Seefeld:2005:RB,
  author =       "Kim Seefeld and Ernst Linder",
  title =        "{R} for Bioinformatics",
  publisher =    pub-ORA-MEDIA,
  address =      pub-ORA-MEDIA:adr,
  pages =        "320 (est.)",
  year =         "2005",
  ISBN =         "0-596-00544-X",
  ISBN-13 =      "978-0-596-00544-3",
  LCCN =         "????",
  bibdate =      "Mon Jul 04 16:50:00 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
}

@Article{Smith:2005:JES,
  author =       "Christina D. Smith and Jeffrey S. Pontius",
  title =        "Jackknife Estimator of Species Richness with
                 {S-PLUS}",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "3",
  pages =        "1--12",
  month =        dec,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i03",
  abstract =     "An estimate of the number of species, $S$, usually
                 called species richness by ecologists, in an area is
                 one of the basic statistics used to ascertain
                 biological diversity. Traditionally ecologists have
                 used the number of species observed in a sample, $
                 S_0$, to estimate $S$, realizing that $ S_0$ is a lower
                 bound for $S$. One alternative to $ S_0$ is to use a
                 nonparametric procedure such as jackknife resampling.
                 For species richness, a closed form of the jackknife
                 estimator is available. Typically statistical software
                 contains only the traditional iterative form of the
                 jackknife estimator. The purpose of this article is to
                 propose an S-PLUS function for calculating the
                 noniterative first order jackknife estimator of species
                 richness and some associated plots and statistics.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2004-09-30; Accepted 2005-12-05",
}

@Article{Stoll:2005:WRS,
  author =       "Heather Stoll and Gary King and Langche Zeng",
  title =        "{WhatIf}: {R} Software for Evaluating
                 Counterfactuals",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "4",
  pages =        "1--18",
  month =        dec,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i04",
  abstract =     "WhatIf is an R package that implements the methods for
                 evaluating counterfactuals introduced in King and Zeng
                 (2006a) and King and Zeng (2006b). It offers
                 easy-to-use techniques for assessing a counterfactual's
                 model dependence without having to conduct sensitivity
                 testing over specified classes of models. These same
                 methods can be used to approximate the common support
                 of the treatment and control groups in causal
                 inference.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-11-09; Accepted 2005-12-10",
}

@Article{Sturtz:2005:RPR,
  author =       "Sibylle Sturtz and Uwe Ligges and Andrew Gelman",
  title =        "{{\tt R2WinBUGS}}: {A} Package for Running {WinBUGS}
                 from {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "3",
  pages =        "1--16",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=110&url=v12/i03&ct=2;
                 http://www.jstatsoft.org/counter.php?id=110&url=v12/i03/v12i03.pdf&ct=1",
  accepted =     "2005-01-07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-01-07",
}

@Article{Terpstra:2005:RBA,
  author =       "Jeff T. Terpstra and Joseph W. McKean",
  title =        "Rank-Based Analysis of Linear Models Using {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "7",
  pages =        "1--26",
  day =          "1",
  month =        jul,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=132&url=v14/i07&ct=2;
                 http://www.jstatsoft.org/counter.php?id=132&url=v14/i07/v14i07.pdf&ct=1",
  abstract =     "It is well-known that Wilcoxon procedures out perform
                 least squares procedures when the data deviate from
                 normality and/or contain outliers. These procedures can
                 be generalized by introducing weights; yielding
                 so-called weighted Wilcoxon (WW) techniques. In this
                 paper we demonstrate how WW-estimates can be calculated
                 using an L1 regression routine. More importantly, we
                 present a collection of functions that can be used to
                 implement a robust analysis of a linear model based on
                 WW-estimates. For instance, estimation, tests of linear
                 hypotheses, residual analyses, and diagnostics to
                 detect differences in fits for various weighting
                 schemes are discussed. We analyze a regression model,
                 designed experiment, and autoregressive time series
                 model for the sake of illustration. We have chosen to
                 implement the suite of functions using the R
                 statistical software package. Because R is freely
                 available and runs on multiple platforms, WW-estimation
                 and associated inference is now universally
                 accessible.",
  accepted =     "2005-07-01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "estimation; inference; linear models; R functions;
                 rank-based procedures; robust; weighted Wilcoxon
                 estimates",
  submitted =    "2004-04-06",
}

@Article{Utlaut:2005:BRB,
  author =       "Theresa L. Utlaut",
  title =        "Book Review: {{\booktitle{Statistical Analysis and
                 Data Display: An Intermediate Course with Examples in
                 S-PLUS. R, and SAS}} by Richard M. Heiberger; Burt
                 Holland}",
  journal =      j-TECHNOMETRICS,
  volume =       "47",
  number =       "3",
  pages =        "371--371",
  month =        aug,
  year =         "2005",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471029",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:06 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25471016;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471029",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Book{Verzani:2005:URI,
  author =       "John Verzani",
  title =        "Using {R} for introductory statistics",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  pages =        "xvi + 414",
  year =         "2005",
  ISBN =         "1-58488-450-9",
  ISBN-13 =      "978-1-58488-450-7",
  LCCN =         "QA276.4 .V47 2005",
  bibdate =      "Mon Jul 4 16:32:30 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  acknowledgement = ack-nhfb,
  subject =      "Statistics; Data processing; R (Computer program
                 language)",
}

@Article{Woodward:2005:BBC,
  author =       "Phil Woodward",
  title =        "{BugsXLA}: {Bayes} for the {Common Man}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "5",
  pages =        "1--18",
  day =          "31",
  month =        jan,
  year =         "2005",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=130&url=v14/i05&ct=2;
                 http://www.jstatsoft.org/counter.php?id=130&url=v14/i05/v14i05.pdf&ct=1",
  abstract =     "The absence of user-friendly software has long been a
                 major obstacle to the routine application of Bayesian
                 methods in business and industry. It will only be
                 through widespread application of the Bayesian approach
                 to real problems that issues, such as the use of prior
                 distributions, can be practically resolved in the same
                 way that the choice of significance levels has been in
                 the classical approach; although most Bayesians would
                 hope for a much more satisfactory resolution. It is
                 only relatively recently that any general purpose
                 Bayesian software has been available; by far the most
                 widely used such package is {\tt WinBUGS}. Although
                 this software has been designed to enable an extremely
                 wide variety of models to be coded relatively easily,
                 it is unlikely that many will bother to learn the
                 language and its nuances unless they are already highly
                 motivated to try Bayesian methods. This paper describes
                 a graphical user interface, programmed by the author,
                 which facilitates the specification of a wide class of
                 generalised linear mixed models for analysis using
                 WinBUGS. The program, BugsXLA (v2.1), is an Excel
                 Add-In that not only allows the user to specify a model
                 as one would in a package such as SAS or S-PLUS, but
                 also aids the specification of priors and control of
                 the MCMC run itself. Inevitably, developing a program
                 such as this forces one to think again about such
                 issues as choice of default priors, parameterisation
                 and assessing convergence. I have tried to adopt
                 currently perceived good practices, but mainly share my
                 approach so that others can apply it and, through
                 constructive criticism, play a small part in the
                 ultimate development of the first Bayesian software
                 package truly usable by the average data analyst.",
  accepted =     "2005-01-31",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "Bayesian analysis; GLMM; graphical user interface;
                 Microsoft Excel; WinBUGS",
  submitted =    "2005-01-31",
}

@Article{Ziegel:2005:BRBb,
  author =       "Eric R. Ziegel",
  title =        "Book Review: {{\booktitle{Statistical Analysis of
                 Financial Data in S-PLUS}} by Ren{\'e} A. Carmona}",
  journal =      j-TECHNOMETRICS,
  volume =       "47",
  number =       "2",
  pages =        "242--243",
  month =        may,
  year =         "2005",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471002",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:05 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25470971;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471002",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Book{Zivot:2005:MFT,
  author =       "Eric Zivot",
  title =        "Modeling financial time series with {S-Plus}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Second",
  pages =        "????",
  year =         "2005",
  ISBN =         "0-387-27965-2",
  ISBN-13 =      "978-0-387-27965-7",
  bibdate =      "Thu Oct 20 05:47:17 MDT 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  acknowledgement = ack-nhfb,
}

@Article{Anonymous:2006:BBP,
  author =       "Anonymous",
  title =        "{{\booktitle{The Basics of S-PLUS}} by Andreas Krause;
                 Melvin Olson}",
  journal =      j-TECHNOMETRICS,
  volume =       "48",
  number =       "2",
  pages =        "314--314",
  month =        may,
  year =         "2006",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471184",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:10 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25471152;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471184",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Anonymous:2006:BRBam,
  author =       "Anonymous",
  title =        "Book Review: {{\booktitle{A Handbook of Statistical
                 Analysis Using R}} by Brian Everitt; Torster
                 Northorn}",
  journal =      j-TECHNOMETRICS,
  volume =       "48",
  number =       "4",
  pages =        "577--577",
  month =        nov,
  year =         "2006",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471266",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:14 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25471234;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471266",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Bullard:2006:BRB,
  author =       "James Bullard",
  title =        "Book Review: {{\booktitle{R Graphics}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "BR-7",
  pages =        "1--3",
  month =        oct,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/b07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-11; Accepted 2006-10-11",
}

@Article{Culp:2006:ARP,
  author =       "Mark Culp and Kjell Johnson and George Michailides",
  title =        "{\tt ada}: An {R} Package for Stochastic Boosting",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "2",
  pages =        "1--27",
  month =        sep,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/i02",
  abstract =     "Boosting is an iterative algorithm that combines
                 simple classification rules with ``mediocre''
                 performance in terms of misclassification error rate to
                 produce a highly accurate classification rule.
                 Stochastic gradient boosting provides an enhancement
                 which incorporates a random mechanism at each boosting
                 step showing an improvement in performance and speed in
                 generating the ensemble. {\tt ada} is an R package that
                 implements three popular variants of boosting, together
                 with a version of stochastic gradient boosting. In
                 addition, useful plots for data analytic purposes are
                 provided along with an extension to the multi-class
                 case. The algorithms are illustrated with synthetic and
                 real data sets.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-07-13; Accepted 2007-07-13",
}

@Article{deLeeuw:2006:BRB,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{Robust Statistical Methods
                 with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "BR-2",
  pages =        "1--2",
  month =        jul,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-07-07; Accepted 2006-07-07",
}

@Article{Dethlefsen:2006:FSS,
  author =       "Claus Dethlefsen and S{\o}ren Lundbye-Christensen",
  title =        "Formulating State Space Models in {R} with Focus on
                 Longitudinal Regression Models",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "1",
  pages =        "1--15",
  month =        apr,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/i01",
  abstract =     "We provide a language for formulating a range of state
                 space models with response densities within the
                 exponential family. The described methodology is
                 implemented in the R-package sspir. A state space model
                 is specified similarly to a generalized linear model in
                 R, and then the time-varying terms are marked in the
                 formula. Special functions for specifying polynomial
                 time trends, harmonic seasonal patterns, unstructured
                 seasonal patterns and time-varying covariates can be
                 used in the formula. The model is fitted to data using
                 iterated extended Kalman filtering, but the formulation
                 of models does not depend on the implemented method of
                 inference. The package is demonstrated on three
                 datasets.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-05-25; Accepted 2006-04-26",
}

@Article{Dinov:2006:SSO,
  author =       "Ivo D. Dinov",
  title =        "{SOCR}: Statistics Online Computational Resource",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "11",
  pages =        "1--16",
  month =        oct,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/i11",
  abstract =     "The need for hands-on computer laboratory experience
                 in undergraduate and graduate statistics education has
                 been firmly established in the past decade. As a result
                 a number of attempts have been undertaken to develop
                 novel approaches for problem-driven statistical
                 thinking, data analysis and result interpretation. In
                 this paper we describe an integrated educational
                 web-based framework for: interactive distribution
                 modeling, virtual online probability experimentation,
                 statistical data analysis, visualization and
                 integration. Following years of experience in
                 statistical teaching at all college levels using
                 established licensed statistical software packages,
                 like STATA, S-PLUS, R, SPSS, SAS, Systat, etc., we have
                 attempted to engineer a new statistics education
                 environment, the Statistics Online Computational
                 Resource (SOCR). This resource performs many of the
                 standard types of statistical analysis, much like other
                 classical tools. In addition, it is designed in a
                 plug-in object-oriented architecture and is completely
                 platform independent, web-based, interactive,
                 extensible and secure. Over the past 4 years we have
                 tested, fine-tuned and reanalyzed the SOCR framework in
                 many of our undergraduate and graduate probability and
                 statistics courses and have evidence that SOCR
                 resources build student's intuition and enhance their
                 learning.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-07-01; Accepted 2006-10-01",
}

@Book{Everitt:2006:HSA,
  author =       "Brian Everitt and Torsten Hothorn",
  title =        "A handbook of statistical analyses using {R}",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  pages =        "xvi + 275",
  year =         "2006",
  ISBN =         "1-58488-539-4",
  ISBN-13 =      "978-1-58488-539-9",
  LCCN =         "QA276.45.R3 E94 2006",
  bibdate =      "Sat Jun 13 09:37:41 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0648/2005056944-d.html;
                 http://www.loc.gov/catdir/toc/fy0608/2005056944.html",
  acknowledgement = ack-nhfb,
  subject =      "mathematical statistics; data processing; handbooks,
                 manuals, etc; R (computer programming language)",
}

@Article{Gunter:2006:BRB,
  author =       "Berton H. Gunter",
  title =        "Book Review: {{\booktitle{R Graphics}} by Paul
                 Murrell}",
  journal =      j-TECHNOMETRICS,
  volume =       "48",
  number =       "2",
  pages =        "308--309",
  month =        may,
  year =         "2006",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471176",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:10 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25471152;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471176",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Hankin:2006:CSA,
  author =       "Robin K. S. Hankin",
  title =        "Code Snippet: Additive Integer Partitions in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "CS-1",
  pages =        "1--3",
  month =        may,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-04-27; Accepted 2006-05-17",
}

@Article{Hankin:2006:IER,
  author =       "Robin K. S. Hankin",
  title =        "Introducing {\tt elliptic}, an {R} Package for
                 Elliptic and Modular Functions",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "7",
  pages =        "1--22",
  month =        jan,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i07",
  abstract =     "This paper introduces the {\tt elliptic} package of R
                 routines, for numerical calculation of elliptic and
                 related functions. Elliptic functions furnish
                 interesting and instructive examples of many ideas of
                 complex analysis, and the package illustrates these
                 numerically and visually. A statistical application in
                 fluid mechanics is presented.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-07-13; Accepted 2006-01-18",
}

@Article{Hardin:2006:IST,
  author =       "Jo Hardin",
  title =        "Introduction to Statistics Through Resampling Methods
                 and {R\slash S-PLUS}",
  journal =      j-AMER-STAT,
  volume =       "60",
  number =       "4",
  pages =        "343--344",
  month =        nov,
  year =         "2006",
  CODEN =        "ASTAAJ",
  DOI =          "http://pubs.amstat.org/doi/pdfplus/10.1198/tas.2006.s61",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Aug 26 21:48:27 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Article{Hilbe:2006:BRB,
  author =       "Joseph Hilbe",
  title =        "Book Review: {{\booktitle{A Handbook of Statistical
                 Analyses Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "BR-6",
  pages =        "1--6",
  month =        aug,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/b06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-08-12; Accepted 2006-08-12",
}

@Book{Jureckova:2006:RSM,
  author =       "Jana Jure{\v{c}}kov{\'a} and Jan Picek",
  title =        "Robust statistical methods with {R}",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  pages =        "xi + 193",
  year =         "2006",
  ISBN =         "1-58488-454-1",
  ISBN-13 =      "978-1-58488-454-5",
  LCCN =         "QA276 .J868 2006",
  bibdate =      "Thu Jul 10 08:17:35 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0646/2005053192-d.html",
  acknowledgement = ack-nhfb,
  author-dates = "1940--",
  subject =      "Robust statistics; R (Computer program language);
                 Statistical methods",
}

@Article{Karatzoglou:2006:SVM,
  author =       "Alexandros Karatzoglou and David Meyer and Kurt
                 Hornik",
  title =        "Support Vector Machines in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "9",
  pages =        "1--28",
  month =        apr,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i09",
  abstract =     "Being among the most popular and efficient
                 classification and regression methods currently
                 available, implementations of support vector machines
                 exist in almost every popular programming language.
                 Currently four R packages contain SVM related software.
                 The purpose of this paper is to present and compare
                 these implementations.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-10-24; Accepted 2006-04-06",
}

@Article{Kim:2006:CRP,
  author =       "Donghoh Kim and Hee-Seok Oh",
  title =        "{CVTresh}: {R} Package for Level-Dependent
                 Cross-Validation Thresholding",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "10",
  pages =        "1--13",
  month =        apr,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i10",
  abstract =     "The core of the wavelet approach to nonparametric
                 regression is thresholding of wavelet coefficients.
                 This paper reviews a cross-validation method for the
                 selection of the thresholding value in wavelet
                 shrinkage of Oh, Kim, and Lee (2006), and introduces
                 the R package CVThresh implementing details of the
                 calculations for the procedures.\par

                 This procedure is implemented by coupling a
                 conventional cross-validation with a fast imputation
                 method, so that it overcomes a limitation of data
                 length, a power of 2. It can be easily applied to the
                 classical leave-one-out cross-validation and K-fold
                 cross-validation. Since the procedure is
                 computationally fast, a level-dependent
                 cross-validation can be developed for wavelet shrinkage
                 of data with various sparseness according to levels.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-08-22; Accepted 2006-04-08",
}

@Article{Lund:2006:BRB,
  author =       "Ulric J. Lund",
  title =        "Book Review: {{\booktitle{An R and S-Plus{\reg}
                 Companion to Multivariate Analysis}}, by Brian S.
                 Everitt}",
  journal =      j-J-AM-STAT-ASSOC,
  volume =       "101",
  number =       "474",
  pages =        "857--858",
  month =        jun,
  year =         "2006",
  CODEN =        "JSTNAL",
  DOI =          "http://dx.doi.org/10.1198/jasa.2006.s114",
  ISSN =         "0162-1459 (print), 1537-274X (electronic)",
  ISSN-L =       "0162-1459",
  bibdate =      "Wed Jan 25 08:06:33 MST 2012",
  bibsource =    "http://www.amstat.org/publications/jasa/;
                 http://www.jstor.org/journals/01621459.html;
                 http://www.jstor.org/stable/i27590703;
                 http://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27590760",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of the American Statistical Association",
  journal-URL =  "http://www.tandfonline.com/loi/uasa20",
}

@Article{Maindonald:2006:BRB,
  author =       "John Maindonald",
  title =        "Book Review: {{\booktitle{Generalized Additive Models:
                 An Introduction with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "BR-3",
  pages =        "1--2",
  month =        jul,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-07-12; Accepted 2006-07-12",
}

@Article{Marchetti:2006:IIG,
  author =       "Giovanni M. Marchetti",
  title =        "Independencies Induced from a Graphical {Markov} Model
                 After Marginalization and Conditioning: The {R} Package
                 {\tt ggm}",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "6",
  pages =        "1--15",
  month =        feb,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i06",
  abstract =     "We describe some functions in the R package {\tt ggm}
                 to derive from a given Markov model, represented by a
                 directed acyclic graph, different types of graphs
                 induced after marginalizing over and conditioning on
                 some of the variables. The package has a few basic
                 functions that find the essential graph, the induced
                 concentration and covariance graphs, and several types
                 of chain graphs implied by the directed acyclic graph
                 (DAG) after grouping and reordering the variables.
                 These functions can be useful to explore the impact of
                 latent variables or of selection effects on a chosen
                 data generating model.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-06-21; Accepted 2006-02-08",
}

@Article{Mineo:2006:URP,
  author =       "Angelo Mineo and Alfredo Pontillo",
  title =        "Using {R} via {PHP} for Teaching Purposes: {R-php}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "4",
  pages =        "1--20",
  month =        oct,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/i04",
  abstract =     "This paper deals with the R-php statistical software,
                 that is an environment for statistical analysis, freely
                 accessible and attainable through the World Wide Web,
                 based on R. Indeed, this software uses, as ``engine''
                 for statistical analyses, R via PHP and its design has
                 been inspired by a paper of de Leeuw (1997). R-php is
                 based on two modules: a base module and a
                 point-and-click module. R-php base allows the simple
                 editing of R code in a form. R-php point-and-click
                 allows some statistical analyses by means of a
                 graphical user interface (GUI): then, to use this
                 module it is not necessary for the user to know the R
                 environment, but all the allowed analyses can be
                 performed by using the computer mouse. We think that
                 this tool could be particularly useful for teaching
                 purposes: one possible use could be in a University
                 computer laboratory to permit a smooth approach of
                 students to R.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2004-09-04; Accepted 2006-10-20",
}

@Book{Murrell:2006:RG,
  author =       "Paul Murrell",
  title =        "{R} Graphics",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  pages =        "xix + 301",
  year =         "2006",
  ISBN =         "1-4200-3502-9 (electronic), 0-8493-1622-7,
                 1-58488-486-X",
  ISBN-13 =      "978-1-4200-3502-5 (electronic), 978-0-8493-1622-7,
                 978-1-58488-486-6",
  LCCN =         "T385 .M9 2006",
  bibdate =      "Sat Jun 13 09:30:24 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 library.mit.edu:9909/mit01",
  series =       "Computer science and data analysis series",
  URL =          "http://www.netLibrary.com/urlapi.asp?action=summary&v=1&bookid=155642",
  acknowledgement = ack-nhfb,
  subject =      "Computer graphics; R (Computer programming language)",
}

@Article{Nadarajah:2006:CSR,
  author =       "Saralees Nadarajah and Samuel Kotz",
  title =        "Code Snippet: {R} Programs for Truncated
                 Distributions",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "CS-2",
  pages =        "1--8",
  month =        aug,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/c02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-06-06; Accepted 2006-08-17",
}

@Article{Ng:2006:BRB,
  author =       "H. K. Tony Ng",
  title =        "Book Review: {{\booktitle{Statistics: An Introduction
                 Using R}} by Michael J. Crawley}",
  journal =      j-TECHNOMETRICS,
  volume =       "48",
  number =       "2",
  pages =        "308--308",
  month =        may,
  year =         "2006",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471175",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:10 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25471152;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471175",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Book{Paradis:2006:APE,
  author =       "Emmanuel Paradis",
  title =        "Analysis of phylogenetics and evolution with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xii + 211",
  year =         "2006",
  ISBN =         "0-387-32914-5 (paperback), 1-4614-1743-0 (e-book)",
  ISBN-13 =      "978-0-387-32914-7 (paperback), 978-1-4614-1743-9
                 (e-book)",
  LCCN =         "QH83 .P37 2006",
  bibdate =      "Thu Jul 10 12:14:05 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0824/2006923823-d.html;
                 http://www.loc.gov/catdir/toc/fy0703/2006923823.html",
  abstract =     "The increasing availability of molecular and genetic
                 databases coupled with the growing power of computers
                 gives biologists opportunities to address new issues,
                 such as the patterns of molecular evolution, and
                 re-assess old ones, such as the role of adaptation in
                 species diversification. In the second edition, the
                 book continues to integrate a wide variety of data
                 analysis methods into a single and flexible interface:
                 the R language. This open source language is available
                 for a wide range of computer systems and has been
                 adopted as a computational environment by many authors
                 of statistical software. Adopting R as a main tool for
                 phylogenetic analyses will ease the workflow in
                 biologists' data analyses, ensure greater scientific
                 repeatability, and enhance the exchange of ideas and
                 methodological developments. The second edition is
                 completed updated, covering the full gamut of R
                 packages for this area that have been introduced to the
                 market since its previous publication five years ago.
                 There is also a new chapter on the simulation of
                 evolutionary data. Graduate students and researchers in
                 evolutionary biology can use this book as a reference
                 for data analyses, whereas researchers in
                 bioinformatics interested in evolutionary analyses will
                 learn how to implement these methods in R. The book
                 starts with a presentation of different R packages and
                 gives a short introduction to R for phylogeneticists
                 unfamiliar with this language. The basic phylogenetic
                 topics are covered: manipulation of phylogenetic data,
                 phylogeny estimation, tree drawing, phylogenetic
                 comparative methods, and estimation of ancestral
                 characters. The chapter on tree drawing uses R's
                 powerful graphical environment. A section deals with
                 the analysis of diversification with phylogenies, one
                 of the author's favorite research topics. The last
                 chapter is devoted to the development of phylogenetic
                 methods with R and interfaces with other languages (C
                 and C++). Some exercises conclude these chapters.",
  acknowledgement = ack-nhfb,
  subject =      "Cladistic analysis; Phylogeny; Methodology; R
                 (Computer program language)",
  tableofcontents = "Introduction \\
                 First Steps in R for Phylogeneticists \\
                 Phylogenetic Data in R \\
                 Plotting Phylogenies \\
                 Phylogeny Estimation \\
                 Analysis of Macroevolution with Phylogenies \\
                 Simulating Phylogenies and Evolutionary Data \\
                 Developing and Implementing Phylogenetic Methods in R
                 \\
                 Short Course on Regular Expressions",
}

@Book{Pardoe:2006:ARM,
  author =       "Iain Pardoe",
  title =        "Applied regression modeling: a business approach",
  publisher =    pub-WILEY-INTERSCIENCE,
  address =      pub-WILEY-INTERSCIENCE:adr,
  pages =        "xx + 303",
  year =         "2006",
  ISBN =         "0-471-97033-6",
  ISBN-13 =      "978-0-471-97033-0",
  LCCN =         "QA278.2 .P363 2006",
  bibdate =      "Wed Sep 15 09:43:21 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0741/2006044262-b.html;
                 http://www.loc.gov/catdir/enhancements/fy0741/2006044262-d.html;
                 http://www.loc.gov/catdir/toc/fy0702/2006044262.html;
                 http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471970336.html",
  acknowledgement = ack-nhfb,
  keywords =     "Minitab; R/S-Plus; SAS; SPSS",
  subject =      "regression analysis; statistics",
}

@Book{Pfaff:2006:AIC,
  author =       "Bernhard Pfaff",
  title =        "Analysis of integrated and cointegrated time series
                 with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xi + 139",
  year =         "2006",
  ISBN =         "0-387-27959-8, 0-387-27960-1 (e-book)",
  ISBN-13 =      "978-0-387-27959-6, 978-0-387-27960-2 (e-book)",
  LCCN =         "QA280 .P45 2006",
  bibdate =      "Thu Jul 10 08:36:02 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0663/2005935027-d.html;
                 http://www.loc.gov/catdir/toc/fy0610/2005935027.html",
  acknowledgement = ack-nhfb,
  subject =      "Time-series analysis; Computer programs; R (Computer
                 program language)",
}

@Article{Rizopoulos:2006:LRP,
  author =       "Dimitris Rizopoulos",
  title =        "{\tt ltm}: An {R} Package for Latent Variable Modeling
                 and Item Response Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "5",
  pages =        "1--25",
  month =        nov,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/i05",
  abstract =     "The R package {\tt ltm} has been developed for the
                 analysis of multivariate dichotomous and polytomous
                 data using latent variable models, under the Item
                 Response Theory approach. For dichotomous data the
                 Rasch, the Two-Parameter Logistic, and Birnbaum's
                 Three-Parameter models have been implemented, whereas
                 for polytomous data Semejima's Graded Response model is
                 available. Parameter estimates are obtained under
                 marginal maximum likelihood using the Gauss-Hermite
                 quadrature rule. The capabilities and features of the
                 package are illustrated using two real data examples.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-05-08; Accepted 2006-11-20",
}

@TechReport{Sartori:2006:SRL,
  author =       "Nicola Sartori",
  title =        "{Sweave $=$ R $ \cdot $ {\LaTeX}$^2$}",
  type =         "Technical report",
  institution =  "Universit{\`a} ``Ca' Foscari'' Venezia",
  address =      "Venice, Italy",
  pages =        "17",
  day =          "23",
  month =        nov,
  year =         "2006",
  bibdate =      "Sat Jul 5 19:11:39 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/litprog.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://stat.epfl.ch/webdav/site/stat/shared/Regression/EPFL-Sweave-powerdot.pdf",
  acknowledgement = ack-nhfb,
}

@Article{Shin:2006:CSL,
  author =       "Ji-Hyung Shin and Sigal Blay and Brad McNeney and
                 Jinko Graham",
  title =        "Code Snippet: {LDheatmap}: An {R} Function for
                 Graphical Display of Pairwise Linkage Disequilibria
                 Between Single Nucleotide Polymorphisms",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "CS-3",
  pages =        "1--9",
  month =        sep,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/c03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-05-15; Accepted 2006-09-20",
}

@Book{Shumway:2006:TSA,
  author =       "Robert H. Shumway and David S. Stoffer",
  title =        "Time series analysis and its applications: with {R}
                 examples",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Second",
  pages =        "xiii + 575",
  year =         "2006",
  ISBN =         "0-387-29317-5 (hardcover)",
  ISBN-13 =      "978-0-387-29317-2 (hardcover)",
  LCCN =         "QA280 .S585 2006",
  bibdate =      "Sat Jun 13 09:46:46 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Springer texts in statistics",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0663/2005935284-d.html;
                 http://www.loc.gov/catdir/toc/fy0704/2005935284.html",
  acknowledgement = ack-nhfb,
  subject =      "Time-series analysis",
  tableofcontents = "1. Characteristics of time series \\
                 2. Time series regression and exploratory data analysis
                 \\
                 3. ARIMA models \\
                 4. Spectral analysis and filtering \\
                 5. Additional time domain topics \\
                 6. State-space models \\
                 7. Statistical methods in the frequency domain \\
                 App. A. Large sample theory \\
                 App. B. Time domain theory \\
                 App. C. Spectral domain theory",
}

@Article{Smith:2006:BRB,
  author =       "Eric P. Smith",
  title =        "Book Review: {{\booktitle{Using R for Introductory
                 Statistics}} by John Verzani}",
  journal =      j-TECHNOMETRICS,
  volume =       "48",
  number =       "2",
  pages =        "307--308",
  month =        may,
  year =         "2006",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471174",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:10 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25471152;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471174",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Tanimura:2006:PSM,
  author =       "Susumu Tanimura and Chusi Kuroiwa and Tsutomu Mizota",
  title =        "Proportional Symbol Mapping in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "5",
  pages =        "1--7",
  month =        jan,
  year =         "2006",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i05",
  abstract =     "Visualization of spatial data on a map aids not only
                 in data exploration but also in communication to impart
                 spatial conception or ideas to others. Although recent
                 cartographic functions in R are rapidly becoming
                 richer, proportional symbol mapping, which is one of
                 the common mapping approaches, has not been packaged
                 thus far. Based on the theories of proportional symbol
                 mapping developed in cartography, the authors developed
                 some functions for proportional symbol mapping using R,
                 including mathematical and perceptual scaling. An
                 example of these functions demonstrated the new
                 expressive power and options available in R,
                 particularly for the visualization of conceptual point
                 data.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-10-02; Accepted 2006-01-24",
}

@Book{Wood:2006:GAM,
  author =       "Simon N. Wood",
  title =        "Generalized additive models: an introduction with
                 {R}",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  pages =        "xvii + 391",
  year =         "2006",
  ISBN =         "1-58488-474-6",
  ISBN-13 =      "978-1-58488-474-3",
  LCCN =         "QA274.73 .W66 2006",
  bibdate =      "Thu Jul 10 08:21:40 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Texts in statistical science",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0702/2006040209-d.html",
  acknowledgement = ack-nhfb,
  subject =      "Random walks (Mathematics); Linear models
                 (Statistics); R (Computer program language);
                 Mathematical models",
  tableofcontents = "Linear models \\
                 Generalized linear models \\
                 Introducing GAM's \\
                 Some GAM theory \\
                 GAMs in practice: mgcv \\
                 Mixed models and GAMMs",
}

@Article{Anderson-Cook:2007:BRBb,
  author =       "Christine M. Anderson-Cook",
  title =        "Book review: {{\booktitle{Generalized Additive Models:
                 An Introduction With R}}}",
  journal =      j-J-AM-STAT-ASSOC,
  volume =       "102",
  number =       "478",
  pages =        "760--761",
  month =        jun,
  year =         "2007",
  CODEN =        "JSTNAL",
  DOI =          "http://dx.doi.org/10.1198/jasa.2007.s188",
  ISSN =         "0162-1459 (print), 1537-274X (electronic)",
  ISSN-L =       "0162-1459",
  bibdate =      "Thu Aug 26 11:26:31 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/jasa/;
                 http://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of the American Statistical Association",
  journal-URL =  "http://www.tandfonline.com/loi/uasa20",
}

@Article{Atman:2007:ATA,
  author =       "Micah Atman and Jeff Gill and Michael P. McDonald",
  title =        "{\tt accuracy}: Tools for Accurate and Reliable
                 Statistical Computing",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "1",
  pages =        "1--30",
  month =        jul,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v21/i01",
  abstract =     "Most empirical social scientists are surprised that
                 low-level numerical issues in software can have
                 deleterious effects on the estimation process.
                 Statistical analyses that appear to be perfectly
                 successful can be invalidated by concealed numerical
                 problems. We have developed a set of tools, contained
                 in {\tt accuracy}, a package for R and S-PLUS, to
                 diagnose problems stemming from numerical and
                 measurement error and to improve the accuracy of
                 inferences. The tools included in {\tt accuracy}
                 include a framework for gauging the computational
                 stability of model results, tools for comparing model
                 results, optimization diagnostics, and tools for
                 collecting entropy for true random numbers
                 generation.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-02-28; Accepted 2007-06-25",
}

@Article{Baillargeon:2007:RLM,
  author =       "Sophie Baillargeon and Louis-Paul Rivest",
  title =        "{{\tt Rcapture}}: Loglinear Models for
                 Capture-Recapture in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "5",
  pages =        "1--31",
  month =        apr,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v19/i05",
  abstract =     "This article introduces {\tt Rcapture}, an R package
                 for capture-recapture experiments. The data for
                 analysis consists of the frequencies of the observable
                 capture histories over the t capture occasions of the
                 experiment. A capture history is a vector of zeros and
                 ones where one stands for a capture and zero for a
                 miss. {\tt Rcapture} can fit three types of models.
                 With a closed population model, the goal of the
                 analysis is to estimate the size N of the population
                 which is assumed to be constant throughout the
                 experiment. The estimator depends on the way in which
                 the capture probabilities of the animals vary. {\tt
                 Rcapture} features several models for these capture
                 probabilities that lead to different estimators for N.
                 In an open population model, immigration and death
                 occur between sampling periods. The estimation of
                 survival rates is of primary interest. {\tt Rcapture}
                 can fit the basic Cormack-Jolly-Seber and Jolly-Seber
                 model to such data. The third type of models fitted by
                 {\tt Rcapture} are robust design models. It features
                 two levels of sampling; closed population models apply
                 within primary periods and an open population model
                 applies between periods. Most models in {\tt Rcapture}
                 have a loglinear form; they are fitted by carrying out
                 a Poisson regression with the R function {\tt glm}.
                 Estimates of the demographic parameters of interest are
                 derived from the loglinear parameter estimates; their
                 variances are obtained by linearization. The novel
                 feature of this package is the provision of several new
                 options for modeling capture probabilities
                 heterogeneity between animals in both closed population
                 models and the primary periods of a robust design. It
                 also implements many of the techniques developed by R.
                 M. Cormack for open population models.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-07-12; Accepted 2007-04-03",
}

@Book{Bartoszynski:2007:PSI,
  author =       "Robert Bartoszy{\'n}ski and Magdalena
                 Niewiadomska-Bugaj",
  title =        "Probability and statistical inference",
  publisher =    pub-WILEY-INTERSCIENCE,
  address =      pub-WILEY-INTERSCIENCE:adr,
  edition =      "Second",
  pages =        "xii + 647",
  year =         "2007",
  ISBN =         "0-470-19158-9 (e-book)",
  ISBN-13 =      "978-0-470-19158-3 (e-book)",
  LCCN =         "QA273 .B2584 2007",
  bibdate =      "Wed Sep 15 09:42:15 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470191589.html",
  acknowledgement = ack-nhfb,
  remark =       "Previous edition \cite{Bartoszynski:1996:PSI}.",
  subject =      "probabilities; mathematical statistics",
  tableofcontents = "Preface \\
                 1. Experiments, Sample Spaces, and Events \\
                 2. Probability \\
                 3. Counting \\
                 4. Conditional Probability; Independence \\
                 5. Markov Chains \\
                 6. Random Variables: Univariate Case \\
                 7. Random Variables: Multivariate Case \\
                 8. Expectation \\
                 9. Selected Families of Distributions \\
                 10. Random Samples \\
                 11. Introduction to Statistical Inference \\
                 12. Estimation \\
                 13. Testing Statistical Hypotheses \\
                 14. Linear Models \\
                 15. Rank Methods \\
                 16. Analysis of Categorical Data \\
                 Statistical Tables \\
                 Bibliography \\
                 Answers to Odd-Numbered Problems \\
                 Index",
}

@Article{Bowman:2007:RSI,
  author =       "Adrian Bowman and Ewan Crawford and Gavin Alexander
                 and Richard W. Bowman",
  title =        "{\tt rpanel}: Simple Interactive Controls for {R}
                 Functions Using the {\tt tcltk} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "9",
  pages =        "1--18",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/i09",
  abstract =     "In a variety of settings it is extremely helpful to be
                 able to apply R functions through buttons, sliders and
                 other types of graphical control. This is particularly
                 true in plotting activities where immediate
                 communication between such controls and a graphical
                 display allows the user to interact with a plot in a
                 very effective manner. The {\tt tcltk} package provides
                 extensive tools for this and the aim of the {\tt
                 rpanel} package is to provide simple and well
                 documented functions which make these facilities as
                 accessible as possible. In addition, the operations
                 which form the basis of communication within {\tt
                 tcltk} are managed in a way which allows users to write
                 functions with a more standard form of parameter
                 passing. This paper describes the basic design of the
                 software and illustrates it on a variety of examples of
                 interactive control of graphics. The {\tt tkrplot}
                 system is used to allow plots to be integrated with
                 controls into a single panel. An example of the use of
                 a graphical image, and the ability to interact with
                 this, is also discussed.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-08-29; Accepted 2007-01-01",
}

@Book{Braun:2007:FCS,
  author =       "John Braun and Duncan James Murdoch",
  title =        "A first course in statistical programming with {R}",
  publisher =    pub-CAMBRIDGE,
  address =      pub-CAMBRIDGE:adr,
  pages =        "x + 163",
  year =         "2007",
  ISBN =         "0-521-87265-0 (hardcover), 0-521-69424-8 (paperback)",
  ISBN-13 =      "978-0-521-87265-2 (hardcover), 978-0-521-69424-7
                 (paperback)",
  LCCN =         "QA276.45.R3 B73 2007",
  bibdate =      "Thu Jul 10 08:40:36 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0827/2008295814-b.html;
                 http://www.loc.gov/catdir/enhancements/fy0827/2008295814-d.html;
                 http://www.loc.gov/catdir/enhancements/fy0827/2008295814-t.html",
  acknowledgement = ack-nhfb,
  author-dates = "1963--",
  subject =      "R (Computer program language); Statistics; Data
                 processing",
  tableofcontents = "1. Getting started \\
                 2. Introduction to the R language \\
                 3. Programming statistical graphics \\
                 4. Programming with R \\
                 5. Simulation \\
                 6. Computational linear algebra \\
                 7. Numerical optimization \\
                 Appendix. Review of random variables and distributions
                 \\
                 Index",
}

@Article{Burr:2007:BRB,
  author =       "Thomas L. Burr",
  title =        "Book Review: {{\booktitle{Modeling Financial Time
                 Series with S-Plus}} by Eric Zivot; Jiahui Wang}",
  journal =      j-TECHNOMETRICS,
  volume =       "49",
  number =       "1",
  pages =        "105--106",
  month =        feb,
  year =         "2007",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471290",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:15 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25471268;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471290",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Chiang:2007:BRB,
  author =       "Alan Y. Chiang",
  title =        "Book Review: {{\booktitle{Generalized Additive Models:
                 An Introduction with R}} by Simon N. Wood}",
  journal =      j-TECHNOMETRICS,
  volume =       "49",
  number =       "3",
  pages =        "360--361",
  month =        aug,
  year =         "2007",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471358",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:17 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25471341;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471358",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Book{Cook:2007:IDG,
  author =       "Dianne Cook and Deborah F. Swayne",
  title =        "Interactive and Dynamic Graphics for Data Analysis:
                 with {R} and {GGobi}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "vii + 188",
  year =         "2007",
  ISBN =         "0-387-71761-7",
  ISBN-13 =      "978-0-387-71761-6",
  LCCN =         "QA276.3 .C66 2007",
  bibdate =      "Sat Jun 13 09:46:41 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0825/2007925720-d.html;
                 http://www.loc.gov/catdir/enhancements/fy0825/2007925720-t.html",
  acknowledgement = ack-nhfb,
  remark =       "Possible additional authors (absent from cover):
                 Andreas Buja and D. Temple Lang and H. Hofmann and H.
                 Wickham and M. Lawrence",
  subject =      "graphic methods; computer graphics; statistics;
                 visualization; congresses; R (Computer program
                 language)",
  tableofcontents = "1. Introduction \\
                 2. The Toolbox \\
                 3. Missing Values \\
                 4. Supervised Classification \\
                 5. Cluster Analysis \\
                 6. Miscellaneous Topics \\
                 7. Datasets",
}

@Book{Crawley:2007:RB,
  author =       "Michael J. Crawley",
  title =        "The {R} book",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "viii + 942",
  year =         "2007",
  ISBN =         "0-470-51024-2, 0-470-51506-6 (e-book)",
  ISBN-13 =      "978-0-470-51024-7, 978-0-470-51506-8 (e-book)",
  LCCN =         "QA276.45.R3 C73 2007",
  bibdate =      "Sat Jun 13 08:44:02 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0741/2007296951-b.html;
                 http://www.loc.gov/catdir/enhancements/fy0741/2007296951-d.html;
                 http://www.loc.gov/catdir/toc/fy0713/2007296951.html;
                 http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470515066.html",
  acknowledgement = ack-nhfb,
  subject =      "R (computer programming language); mathematical
                 statistics; data processing",
}

@Article{Davis:2007:BRBa,
  author =       "J. Wade Davis",
  title =        "Book review: {{\booktitle{Bioinformatics and
                 Computational Biology Solutions Using R and
                 Bioconductor}}}",
  journal =      j-J-AM-STAT-ASSOC,
  volume =       "102",
  number =       "477",
  pages =        "388--389",
  month =        mar,
  year =         "2007",
  CODEN =        "JSTNAL",
  DOI =          "http://dx.doi.org/10.1198/jasa.2007.s179",
  ISSN =         "0162-1459 (print), 1537-274X (electronic)",
  ISSN-L =       "0162-1459",
  bibdate =      "Thu Aug 26 11:26:31 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/jasa/;
                 http://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of the American Statistical Association",
  journal-URL =  "http://www.tandfonline.com/loi/uasa20",
}

@Article{Duong:2007:KKD,
  author =       "Tarn Duong",
  title =        "{\tt ks}: Kernel Density Estimation and Kernel
                 Discriminant Analysis for Multivariate Data in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "7",
  pages =        "1--16",
  month =        oct,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v21/i07",
  abstract =     "Kernel smoothing is one of the most widely used
                 non-parametric data smoothing techniques. We introduce
                 a new R package {\tt ks} for multivariate kernel
                 smoothing. Currently it contains functionality for
                 kernel density estimation and kernel discriminant
                 analysis. It is a comprehensive package for bandwidth
                 matrix selection, implementing a wide range of
                 data-driven diagonal and unconstrained bandwidth
                 selectors.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-03-04; Accepted 2007-09-12",
}

@Article{Erdman:2007:BRP,
  author =       "Chandra Erdman and John W. Emerson",
  title =        "{\tt bcp}: An {R} Package for Performing a {Bayesian}
                 Analysis of Change Point Problems",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "3",
  pages =        "1--13",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i03",
  abstract =     "Barry and Hartigan (1993) propose a Bayesian analysis
                 for change point problems. We provide a brief summary
                 of selected work on change point problems, both
                 preceding and following Barry and Hartigan. We outline
                 Barry and Hartigan's approach and offer a new R
                 package, {\tt pkgbcp} (Erdman and Emerson 2007),
                 implementing their analysis. We discuss two frequentist
                 alternatives to the Bayesian analysis, the recursive
                 circular binary segmentation algorithm (Olshen and
                 Venkatraman 2004) and the dynamic programming algorithm
                 of (Bai and Perron 2003). We illustrate the application
                 of {\tt bcp} with economic and microarray data from the
                 literature.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-02; Accepted 2007-11-27",
}

@Article{Finley:2007:SRP,
  author =       "Andrew O. Finley and Sudipto Banerjee and Bradley P.
                 Carlin",
  title =        "{{\tt spBayes}}: An {R} Package for Univariate and
                 Multivariate Hierarchical Point-referenced Spatial
                 Models",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "4",
  pages =        "1--24",
  month =        apr,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v19/i04",
  abstract =     "Scientists and investigators in such diverse fields as
                 geological and environmental sciences, ecology,
                 forestry, disease mapping, and economics often
                 encounter spatially referenced data collected over a
                 fixed set of locations with coordinates
                 (latitude-longitude, Easting-Northing etc.) in a region
                 of study. Such point-referenced or geostatistical data
                 are often best analyzed with Bayesian hierarchical
                 models. Unfortunately, fitting such models involves
                 computationally intensive Markov chain Monte Carlo
                 (MCMC) methods whose efficiency depends upon the
                 specific problem at hand. This requires extensive
                 coding on the part of the user and the situation is not
                 helped by the lack of available software for such
                 algorithms. Here, we introduce a statistical software
                 package, {\tt spBayes}, built upon the R statistical
                 computing platform that implements a generalized
                 template encompassing a wide variety of Gaussian
                 spatial process models for univariate as well as
                 multivariate point-referenced data. We discuss the
                 algorithms behind our package and illustrate its use
                 with a synthetic and real data example.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-29; Accepted 2007-04-24",
}

@Article{Fotopoulos:2007:BRBb,
  author =       "Stergios B. Fotopoulos",
  title =        "Book Review: {{\booktitle{Modeling Financial Time
                 Series with S-PLUS}} by Eric Zivot; Jiahui Wang}",
  journal =      j-TECHNOMETRICS,
  volume =       "49",
  number =       "3",
  pages =        "360--360",
  month =        aug,
  year =         "2007",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471357",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:17 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25471341;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471357",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Gramacy:2007:TRP,
  author =       "Robert B. Gramacy",
  title =        "{\tt tgp}: An {R} Package for {Bayesian}
                 Nonstationary, Semiparametric Nonlinear Regression and
                 Design by Treed {Gaussian} Process Models",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "9",
  pages =        "1--46",
  month =        jun,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v19/i09",
  abstract =     "The {\tt tgp} package for R is a tool for fully
                 Bayesian nonstationary, semiparametric nonlinear
                 regression and design by treed Gaussian processes with
                 jumps to the limiting linear model. Special cases also
                 implemented include Bayesian linear models, linear
                 CART, stationary separable and isotropic Gaussian
                 processes. In addition to inference and posterior
                 prediction, the package supports the (sequential)
                 design of experiments under these models paired with
                 several objective criteria. 1-d and 2-d plotting, with
                 higher dimension projection and slice capabilities, and
                 tree drawing functions (requiring maptree and combinat
                 packages), are also provided for visualization of {\tt
                 tgp} objects.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-07-12; Accepted 2007-06-13",
}

@Article{Guha:2007:CIF,
  author =       "Rajarshi Guha",
  title =        "Chemical Informatics Functionality in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "5",
  pages =        "1--16",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i05",
  abstract =     "The flexibility and scope of the R programming
                 environment has made it a popular choice for
                 statistical modeling and scientific prototyping in a
                 number of fields. In the field of chemistry, R provides
                 several tools for a variety of problems related to
                 statistical modeling of chemical information. However,
                 one aspect common to these tools is that they do not
                 have direct access to the information that is available
                 from chemical structures, such as contained in
                 molecular descriptors.\par

                 We describe the rcdk package that provides the R user
                 with access to the CDK, a Java framework for
                 cheminformatics. As a result, it is possible to read in
                 a variety of molecular formats, calculate molecular
                 descriptors and evaluate fingerprints. In addition, we
                 describe the rpubchem that will allow access to the
                 data in PubChem, a public repository of molecular
                 structures and associated assay data for approximately
                 8 million compounds. Currently, the package allows
                 access to structural information as well as some simple
                 molecular properties from PubChem. In addition the
                 package allows access to bio-assay data from the
                 PubChem FTP servers.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-09-25; Accepted 2007-01-01",
}

@Article{Hankin:2007:CSS,
  author =       "Robin K. S. Hankin and Luke J. West",
  title =        "Code Snippet: Set Partitions in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "CS-2",
  pages =        "1--12",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/c02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-08-29; Accepted 2007-12-11",
}

@Article{Hankin:2007:CSU,
  author =       "Robin K. S. Hankin",
  title =        "Code Snippet: Urn Sampling Without Replacement:
                 Enumerative Combinatorics in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "CS-1",
  pages =        "1--6",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-08-22; Accepted 2007-01-03",
}

@Article{Hankin:2007:IUR,
  author =       "Robin K. S. Hankin",
  title =        "Introducing {\tt untb}, an {R} Package For Simulating
                 Ecological Drift Under the Unified Neutral Theory of
                 Biodiversity",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "12",
  pages =        "1--15",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i12",
  abstract =     "The distribution of abundance amongst species with
                 similar ways of life is a classical problem in ecology.
                 The unified neutral theory of biodiversity, due to
                 Hubbell, states that observed population dynamics may
                 be explained on the assumption of per capita
                 equivalence amongst individuals. One can thus dispense
                 with differences between species, and differences
                 between abundant and rare species: all individuals
                 behave alike in respect of their probabilities of
                 reproducing and death. It is a striking fact that such
                 a parsimonious theory results in a non-trivial
                 dominance-diversity curve (that is, the simultaneous
                 existence of both abundant and rare species) and even
                 more striking that the theory predicts abundance curves
                 that match observations across a wide range of
                 ecologies. This paper introduces the {\tt untb} package
                 of R routines, for numerical simulation of ecological
                 drift under the unified neutral theory. A range of
                 visualization, analytical, and simulation tools are
                 provided in the package and these are presented with
                 examples in the paper.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-08-31; Accepted 2007-06-15",
}

@Article{Harvill:2007:BRB,
  author =       "Jane L. Harvill",
  title =        "Book review: {{\booktitle{Analysis of Integrated and
                 Co-Integrated Time Series With R}}}",
  journal =      j-J-AM-STAT-ASSOC,
  volume =       "102",
  number =       "477",
  pages =        "389--390",
  month =        mar,
  year =         "2007",
  CODEN =        "JSTNAL",
  DOI =          "http://dx.doi.org/10.1198/jasa.2007.s181",
  ISSN =         "0162-1459 (print), 1537-274X (electronic)",
  ISSN-L =       "0162-1459",
  bibdate =      "Thu Aug 26 11:26:31 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/jasa/;
                 http://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of the American Statistical Association",
  journal-URL =  "http://www.tandfonline.com/loi/uasa20",
}

@Article{Heckler:2007:BRB,
  author =       "Charles E. Heckler",
  title =        "Book Review: {{\booktitle{Correspondence Analysis and
                 Data Coding with Java and R}} by Fionn Murtagh}",
  journal =      j-TECHNOMETRICS,
  volume =       "49",
  number =       "1",
  pages =        "100--100",
  month =        feb,
  year =         "2007",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471279",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:15 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25471268;
                 http://www.math.utah.edu/pub/tex/bib/java2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471279",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Henningsen:2007:SPE,
  author =       "Arne Henningsen and Jeff D. Hamann",
  title =        "{\tt systemfit}: {A} Package for Estimating Systems of
                 Simultaneous Equations in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "4",
  pages =        "1--40",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i04",
  abstract =     "Many statistical analyses (e.g., in econometrics,
                 biostatistics and experimental design) are based on
                 models containing systems of structurally related
                 equations. The {\tt systemfit} package provides the
                 capability to estimate systems of linear equations
                 within the R programming environment. For instance,
                 this package can be used for ``ordinary least squares''
                 (OLS), ``seemingly unrelated regression'' (SUR), and
                 the instrumental variable (IV) methods ``two-stage
                 least squares'' (2SLS) and ``three-stage least
                 squares'' (3SLS), where SUR and 3SLS estimations can
                 optionally be iterated. Furthermore, the {\tt
                 systemfit} package provides tools for several
                 statistical tests. It has been tested on a variety of
                 datasets and its reliability is demonstrated.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-03-15; Accepted 2007-10-24",
}

@Article{Hojsgaard:2007:IGG,
  author =       "S{\o}ren H{\o}jsgaard and Steffen L. Lauritzen",
  title =        "Inference in Graphical {Gaussian} Models with Edge and
                 Vertex Symmetries with the {{\tt gRc}} Package for
                 {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "6",
  pages =        "1--26",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i06",
  abstract =     "In this paper we present the R package {\tt gRc} for
                 statistical inference in graphical Gaussian models in
                 which symmetry restrictions have been imposed on the
                 concentration or partial correlation matrix. The models
                 are represented by coloured graphs where parameters
                 associated with edges or vertices of same colour are
                 restricted to being identical. We describe algorithms
                 for maximum likelihood estimation and discuss model
                 selection issues. The paper illustrates the practical
                 use of the {\tt gRc} package.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-09-20; Accepted 2007-09-06",
}

@Article{Johnson:2007:MML,
  author =       "Matthew S. Johnson",
  title =        "Marginal Maximum Likelihood Estimation of Item
                 Response Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "10",
  pages =        "1--24",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v20/i10",
  abstract =     "Item response theory (IRT) models are a class of
                 statistical models used by researchers to describe the
                 response behaviors of individuals to a set of
                 categorically scored items. The most common IRT models
                 can be classified as generalized linear fixed- and/or
                 mixed-effect models. Although IRT models appear most
                 often in the psychological testing literature,
                 researchers in other fields have successfully utilized
                 IRT-like models in a wide variety of applications. This
                 paper discusses the three major methods of estimation
                 in IRT and develops R functions utilizing the built-in
                 capabilities of the R environment to find the marginal
                 maximum likelihood estimates of the generalized partial
                 credit model. The currently available R packages {\tt
                 ltm} is also discussed.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-02-22",
}

@Article{Jones:2007:DPC,
  author =       "James Holland Jones",
  title =        "{{\tt demogR}}: {A} Package for the Construction and
                 Analysis of Age-structured Demographic Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "10",
  pages =        "1--28",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i10",
  abstract =     "The analysis of matrix population models has become a
                 fundamental tool in ecology, conservation biology, and
                 life history theory. In this paper, I present {\tt
                 demogR}, a package for analyzing age-structured
                 population models in R. The package includes tools for
                 the construction and analysis of matrix population
                 models. In addition to the standard analyses commonly
                 used in evolutionary demography and conservation
                 biology, {\tt demogR} contains a variety of tools from
                 classical demography. This includes the construction of
                 period life tables, and the generation of model
                 mortality and fertility schedules for human
                 populations. The tools in {\tt demogR} are generally
                 applicable to age-structured populations but are
                 particularly useful for analyzing problems in human
                 ecology. I illustrate some of the capabilities of the
                 package by doing an evolutionary demographic analysis
                 of several human populations.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-17; Accepted 2007-08-28",
}

@Article{Kirchner:2007:ARP,
  author =       "Marc Kirchner and Benjamin Saussen and Hanno Steen and
                 Judith A. J. Steen and Fred A. Hamprecht",
  title =        "{\tt amsrpm}: Robust Point Matching for Retention Time
                 Alignment of {LC\slash MS} Data with {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "4",
  pages =        "1--12",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i04",
  abstract =     "Proteomics is the study of the abundance, function and
                 dynamics of all proteins present in a living organism,
                 and mass spectrometry (MS) has become its most
                 important tool due to its unmatched sensitivity,
                 resolution and potential for high-throughput
                 experimentation. A frequently used variant of mass
                 spectrometry is coupled with liquid chromatography (LC)
                 and is denoted as ``LC/MS''. It produces
                 two-dimensional raw data, where significant distortions
                 along one of the dimensions can occur between different
                 runs on the same instrument, and between instruments. A
                 compensation of these distortions is required to allow
                 for comparisons between and inference based on
                 different experiments. This article introduces the {\tt
                 amsrpm} software package. It implements a variant of
                 the Robust Point Matching (RPM) algorithm that is
                 tailored for the alignment of LC and LC/MS experiments.
                 Problem-specific enhancements include a specialized
                 dissimilarity measure, and means to enforce smoothness
                 and monotonicity of the estimated transformation
                 function. The algorithm does not rely on pre-specified
                 landmarks, it is insensitive towards outliers and
                 capable of modeling nonlinear distortions. Its
                 usefulness is demonstrated using both simulated and
                 experimental data. The software is available as an open
                 source package for the statistical programming language
                 R.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-09-30; Accepted 2007-07-19",
}

@Article{Krastev:2007:SSS,
  author =       "Theodor Krastev",
  title =        "{\tt spectrino} Software: Spectra Visualization and
                 Preparation for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "10",
  pages =        "1--16",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i10",
  abstract =     "{\tt spectrino} is a spectra preparation software
                 utility for the R language and environment for
                 statistical computing. It is an operating-system
                 specific tool, for use under Microsoft Windows, with
                 specialized visualization, organization and
                 preprocessing features for spectra. The software
                 accepts spectral data from analytical instruments and
                 then prepares a data structure to be introduced in R.
                 {\tt spectrino} has a rich set of features to create
                 data structures and visually manipulate/compare
                 spectra. The application is accessible by a library of
                 functions from within R. These commands allow for the
                 creation and manipulation of data structures in {\tt
                 spectrino} and the selective extraction of spectral
                 data. Before exporting, the spectra are preprocessed
                 according the requirements of consecutive discriminant
                 analysis. This preprocessing is adjustable by a series
                 of options.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-01-10",
}

@Article{Lund:2007:BRBa,
  author =       "Ulric J. Lund",
  title =        "Book Review: {{\booktitle{A Handbook of Statistical
                 Analyses Using R}}}",
  journal =      j-AMER-STAT,
  volume =       "61",
  number =       "3",
  pages =        "277--278",
  month =        aug,
  year =         "2007",
  CODEN =        "ASTAAJ",
  DOI =          "http://pubs.amstat.org/doi/pdfplus/10.1198/tas.2007.s93",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Aug 26 21:48:27 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Article{Lund:2007:BRBb,
  author =       "Robert Lund",
  title =        "Book review: {{\booktitle{Time Series Analysis and Its
                 Applications: With R Examples}}}",
  journal =      j-J-AM-STAT-ASSOC,
  volume =       "102",
  number =       "479",
  pages =        "1079--1079",
  month =        sep,
  year =         "2007",
  CODEN =        "JSTNAL",
  DOI =          "http://dx.doi.org/10.1198/jasa.2007.s209",
  ISSN =         "0162-1459 (print), 1537-274X (electronic)",
  ISSN-L =       "0162-1459",
  bibdate =      "Thu Aug 26 11:26:31 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/jasa/;
                 http://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of the American Statistical Association",
  journal-URL =  "http://www.tandfonline.com/loi/uasa20",
}

@Article{Machler:2007:SIU,
  author =       "Martin M{\"a}chler",
  title =        "Statistics: An Introduction using {R}",
  journal =      j-AMER-STAT,
  volume =       "61",
  number =       "1",
  pages =        "100--101",
  month =        feb,
  year =         "2007",
  CODEN =        "ASTAAJ",
  DOI =          "http://pubs.amstat.org/doi/pdfplus/10.1198/tas.2007.s73",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Aug 26 21:48:27 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Article{Mair:2007:ERM,
  author =       "Patrick Mair and Reinhold Hatzinger",
  title =        "Extended {Rasch} Modeling: The {{\tt eRm}} Package for
                 the Application of {IRT} Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "9",
  pages =        "1--20",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v20/i09",
  abstract =     "Item response theory models (IRT) are increasingly
                 becoming established in social science research,
                 particularly in the analysis of performance or
                 attitudinal data in psychology, education, medicine,
                 marketing and other fields where testing is relevant.
                 We propose the R package {\tt eRm} (extended Rasch
                 modeling) for computing Rasch models and several
                 extensions. A main characteristic of some IRT models,
                 the Rasch model being the most prominent, concerns the
                 separation of two kinds of parameters, one that
                 describes qualities of the subject under investigation,
                 and the other relates to qualities of the situation
                 under which the response of a subject is observed.
                 Using conditional maximum likelihood (CML) estimation
                 both types of parameters may be estimated independently
                 from each other. IRT models are well suited to cope
                 with dichotomous and polytomous responses, where the
                 response categories may be unordered as well as
                 ordered. The incorporation of linear structures allows
                 for modeling the effects of covariates and enables the
                 analysis of repeated categorical measurements. The {\tt
                 eRm} package fits the following models: the Rasch
                 model, the rating scale model (RSM), and the partial
                 credit model (PCM) as well as linear
                 reparameterizations through covariate structures like
                 the linear logistic test model (LLTM), the linear
                 rating scale model (LRSM), and the linear partial
                 credit model (LPCM). We use an unitary, efficient CML
                 approach to estimate the item parameters and their
                 standard errors. Graphical and numeric tools for
                 assessing goodness-of-fit are provided.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-02-22",
}

@Book{MarquesdeSa:2007:ASU,
  author =       "Joaquim P. {Marques de S{\'a}}",
  title =        "Applied Statistics Using {SPSS}, {STATISTICA},
                 {MATLAB} and {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xxiv + 506 + 196",
  year =         "2007",
  DOI =          "http://dx.doi.org/10.1007/978-3-540-71972-4",
  ISBN =         "3-540-71972-5",
  ISBN-13 =      "978-3-540-71972-4",
  LCCN =         "QA276.4 S2232 2007",
  bibdate =      "Wed Jul 9 10:26:08 MDT 2014",
  bibsource =    "fsz3950.oclc.org:210/WorldCat;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/spss.bib",
  abstract =     "This successful textbook is intended for students,
                 professionals and research workers who need to apply
                 statistical analysis to a large variety of practical
                 problems using SPSS, MATLAB, STATISTICA and R. The book
                 provides a comprehensive coverage of the main
                 statistical analysis topics important for practical
                 applications such as data description, statistical
                 inference, classification and regression, factor
                 analysis, survival data and directional statistics. The
                 relevant notions and methods are explained concisely,
                 illustrated with practical examples using real data,
                 presented with the distinct intention of clarifying
                 sensible practical issues. The solutions presented in
                 the examples are obtained with one of the software
                 packages in a pedagogical way. It provides guidance on
                 how to use SPSS, MATLAB, STATISTICA and R in
                 statistical analysis applications without having to
                 delve in the manuals. Major improvements of the second
                 edition are the inclusion of the R language as one of
                 the application tools, a new section on bootstrap
                 estimation methods, a revised explanation and treatment
                 of tree classifiers as well as extra examples and
                 exercises.",
  acknowledgement = ack-nhfb,
  subject =      "Statistics; Engineering mathematics; Statistics for
                 Engineering, Physics, Computer Science, Chemistry and
                 Geosciences; Numerical and Computational Methods in
                 Engineering; Systems and Information Theory in
                 Engineering; Appl.Mathematics/Computational Methods of
                 Engineering",
  tableofcontents = "Introduction \\
                 Presenting and Summarising the Data \\
                 Estimating Data Parameters \\
                 Parametric Tests of Hypotheses \\
                 Non-Parametric Tests of Hypotheses \\
                 Statistical Classification \\
                 Data Regression \\
                 Data Structure Analysis \\
                 Survival Analysis \\
                 Directional Data \\
                 Appendix A \\
                 Short Survey on Probability Theory \\
                 Appendix B \\
                 Distributions \\
                 Appendix C \\
                 Point Estimation \\
                 Appendix D \\
                 Tables \\
                 Appendix E \\
                 Datasets \\
                 Appendix F \\
                 Tools",
}

@Article{McLeod:2007:ALT,
  author =       "A. Ian McLeod and Hao Yu and Zinovi L. Krougly",
  title =        "Algorithms for Linear Time Series Analysis: With {R}
                 Package",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "5",
  pages =        "1--26",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i05",
  abstract =     "Our {\tt ltsa} package implements the Durbin-Levinson
                 and Trench algorithms and provides a general approach
                 to the problems of fitting, forecasting and simulating
                 linear time series models as well as fitting regression
                 models with linear time series errors. For
                 computational efficiency both algorithms are
                 implemented in C and interfaced to R. Examples are
                 given which illustrate the efficiency and accuracy of
                 the algorithms. We provide a second package FGN which
                 illustrates the use of the {\tt ltsa} package with
                 fractional Gaussian noise (FGN). It is hoped that the
                 {\tt ltsa} will provide a base for further time series
                 software.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-10-14; Accepted 2007-11-11",
  remark =       "Describes package {\tt ltsa}.",
}

@Article{Mevik:2007:PPP,
  author =       "Bj{\"o}rn-Helge Mevik and Ron Wehrens",
  title =        "The {\tt pls} Package: Principal Component and Partial
                 Least Squares Regression in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "2",
  pages =        "1--24",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i02",
  abstract =     "The {\tt pls} package implements principal component
                 regression (PCR) and partial least squares regression
                 (PLSR) in R (R Development Core Team 2006b), and is
                 freely available from the Comprehensive R Archive
                 Network (CRAN), licensed under the GNU General Public
                 License (GPL). The user interface is modeled after the
                 traditional formula interface, as exemplified by lm.
                 This was done so that people used to R would not have
                 to learn yet another interface, and also because we
                 believe the formula interface is a good way of working
                 interactively with models. It thus has methods for
                 generic functions like predict, update and coef. It
                 also has more specialised functions like scores,
                 loadings and RMSEP, and a flexible cross-validation
                 system. Visual inspection and assessment is important
                 in chemometrics, and the {\tt pls} package has a number
                 of plot functions for plotting scores, loadings,
                 predictions, coefficients and RMSEP estimates. The
                 package implements PCR and several algorithms for PLSR.
                 The design is modular, so that it should be easy to use
                 the underlying algorithms in other functions. It is our
                 hope that the package will serve well both for
                 interactive data analysis and as a building block for
                 other functions or packages using PLSR or PCR. We will
                 here describe the package and how it is used for data
                 analysis, as well as how it can be used as a part of
                 other packages. Also included is a section about
                 formulas and data frames, for people not used to the R
                 modelling idioms.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-04; Accepted 2007-01-10",
}

@Article{Mullen:2007:FRP,
  author =       "Katharine M. Mullen and Ivo H. M. van Stokkum and
                 Thomas W. Binsl and Jaap Heringa and Johannes H. G. M.
                 van Beek",
  title =        "{FluxSimulator}: An {R} Package to Simulate Isotopomer
                 Distributions in Metabolic Networks",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "7",
  pages =        "1--17",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i07",
  abstract =     "The representation of biochemical knowledge in terms
                 of fluxes (transformation rates) in a metabolic network
                 is often a crucial step in the development of new drugs
                 and efficient bioreactors. Mass spectroscopy (MS) and
                 nuclear magnetic resonance spectroscopy (NMRS) in
                 combination with ${}^{13}$C labeled substrates are
                 experimental techniques resulting in data that may be
                 used to quantify fluxes in the metabolic network
                 underlying a process. The massive amount of data
                 generated by spectroscopic experiments increasingly
                 requires software which models the dynamics of the
                 underlying biological system. In this work we present
                 an approach to handle isotopomer distributions in
                 metabolic networks using an object-oriented programming
                 approach, implemented using S4 classes in R. The
                 developed package is called FluxSimulator and provides
                 a user friendly interface to specify the topological
                 information of the metabolic network as well as carbon
                 atom transitions in plain text files. The package
                 automatically derives the mathematical representation
                 of the formulated network, and assembles a set of
                 ordinary differential equations (ODEs) describing the
                 change of each isotopomer pool over time. These ODEs
                 are subsequently solved numerically. In a case study
                 FluxSimulator was applied to an example network. Our
                 results indicate that the package is able to reproduce
                 exact changes in isotopomer compositions of the
                 metabolite pools over time at given flux rates.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-09-28; Accepted 2007-01-10",
}

@Article{Mullen:2007:TRP,
  author =       "Katharine M. Mullen and Ivo H. M. van Stokkum",
  title =        "{TIMP}: An {R} Package for Modeling Multi-way
                 Spectroscopic Measurements",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "3",
  pages =        "1--46",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i03",
  abstract =     "TIMP is an R package for modeling multiway
                 spectroscopic measurements. The package allows for the
                 simultaneous analysis of datasets collected under
                 different experimental conditions in terms of a wide
                 variety of parametric models. Models arising in
                 spectroscopy data analysis often have some parameters
                 that are intrinstically nonlinear, and some parameters
                 that are conditionally linear on estimates of the
                 nonlinear parameters. TIMP fits such separable
                 nonlinear models using partitioned variable projection,
                 a variant of the variable projection algorithm that is
                 described here for the first time. The of the
                 partitioned variable projection algorithm allows
                 fitting many models for spectroscopy datasets using
                 much less memory as compared to under the standard
                 variable projection algorithm that is implemented in
                 nonlinear optimization routines (e.g., the plinear
                 option of the R function nls), as is shown here. An
                 overview of modeling with TIMP is also given that
                 includes several case studies in the application of the
                 package.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-01-10",
}

@Article{Olive:2007:BRB,
  author =       "David J. Olive",
  title =        "Book Review: {{\booktitle{Robust Statistical Methods
                 with R}} by J. {Jure{\"a} ov{\'a};} J. Picek}",
  journal =      j-TECHNOMETRICS,
  volume =       "49",
  number =       "4",
  pages =        "496--496",
  month =        nov,
  year =         "2007",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/25471404",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:19 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i25471379;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/25471404",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Petzoldt:2007:SOO,
  author =       "Thomas Petzoldt and Karsten Rinke",
  title =        "{\tt simecol}: An Object-Oriented Framework for
                 Ecological Modeling in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "9",
  pages =        "1--31",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i09",
  abstract =     "The {\tt simecol} package provides an open structure
                 to implement, simulate and share ecological models. A
                 generalized object-oriented architecture improves
                 readability and potential code re-use of models and
                 makes {\tt simecol}-models freely extendible and simple
                 to use. The {\tt simecol} package was implemented in
                 the S4 class system of the programming language R.
                 Reference applications, e.g. predator-prey models or
                 grid models are provided which can be used as a
                 starting point for own developments. Compact example
                 applications and the complete code of an
                 individual-based model of the water flea Daphnia
                 document the efficient usage of {\tt simecol} for
                 various purposes in ecological modeling, e.g. scenario
                 analysis, stochastic simulations and individual based
                 population dynamics. Ecologists are encouraged to
                 exploit the abilities of {\tt simecol} to structure
                 their work and to use R and object-oriented programming
                 as a suitable medium for the distribution and share of
                 ecological modeling code.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-21; Accepted 2007-06-08",
}

@Article{Polzehl:2007:ASD,
  author =       "Joerg Polzehl and Karsten Tabelow",
  title =        "Adaptive Smoothing of Digital Images: The {R} Package
                 {\tt adimpro}",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "1",
  pages =        "1--17",
  month =        mar,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v19/i01",
  abstract =     "Digital imaging has become omnipresent in the past
                 years with a bulk of applications ranging from medical
                 imaging to photography. When pushing the limits of
                 resolution and sensitivity noise has ever been a major
                 issue. However, commonly used non-adaptive filters can
                 do noise reduction at the cost of a reduced effective
                 spatial resolution only. Here we present a new package
                 {\tt adimpro} for R, which implements the
                 propagation-separation approach by (Polzehl and
                 Spokoiny 2006) for smoothing digital images. This
                 method naturally adapts to different structures of
                 different size in the image and thus avoids
                 oversmoothing edges and fine structures. We extend the
                 method for imaging data with spatial correlation.
                 Furthermore we show how the estimation of the
                 dependence between variance and mean value can be
                 included. We illustrate the use of the package through
                 some examples.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-27; Accepted 2007-03-27",
}

@Article{Ritter:2007:ICD,
  author =       "Christian Ritter and Jean Gilliard",
  title =        "{ImpuR}: {A} Collection of Diagnostic Tools Developed
                 in {R} in the Context of Peak Impurity Detection in
                 {HPLC-DAD} but Potentially Useful with Other Types of
                 Time-Intensity Matrices",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "9",
  pages =        "1--18",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i09",
  abstract =     "HPLC-DAD systems generate time intensity (absorbance)
                 matrices called spectrochromatograms. Under good
                 experimental conditions, spectro-chromatograms of
                 elution peaks of pure analytes are bilinear products of
                 a time peak and an absorbance spectrum. Co-eluting
                 impurities create deviations from this pure bilinear
                 structure. Unfortunately, other imperfections, such as
                 scan averaging, large optical windows, imperfect lamp
                 alignment, mobile phase fluctuations, etc. also create
                 departures from the pure bilinear structure. This makes
                 it hard to distinguish low concentration impurities
                 from artifacts and hampers safe detection of
                 contaminants. There are two main ways to deal with such
                 artifacts: removal and simulation, and ImpuR provides R
                 functions to do both and to integrate both approaches.
                 More specifically, ImpuR provides a set of tools to
                 explore time-intensity matrices with respect to their
                 bilinear structure and departures from it. It includes
                 exploratory graphs for bilinear matrices (bilinear
                 residual graphs and singular value decompositions),
                 spectral dissimilarity curves via window-evolving
                 factor analysis with heteroscedasticity correction and
                 the sine method, methods for removal of artifacts, and
                 a comprehensive simulation tool to assess the impact of
                 potential artifacts and to allow for the construction
                 of guide curves for use with the sine method.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-24; Accepted 2007-01-11",
}

@Article{Rossini:2007:SPS,
  author =       "A. J. Rossini and Luke Tierney and Na Li",
  title =        "Simple Parallel Statistical Computing in {R}",
  journal =      j-J-COMPUT-GRAPH-STAT,
  volume =       "16",
  number =       "2",
  pages =        "399--420",
  month =        jun,
  year =         "2007",
  CODEN =        "????",
  DOI =          "http://pubs.amstat.org/doi/pdfplus/10.1198/106186007X178979",
  ISSN =         "1061-8600 (print), 1537-2715 (electronic)",
  ISSN-L =       "1061-8600",
  bibdate =      "Mon Aug 30 08:15:16 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/jcgs/;
                 http://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  journal-URL =  "http://www.tandfonline.com/loi/ucgs20",
}

@Article{Sardy:2007:BRB,
  author =       "Sylvain Sardy and Valerie Chavez-Demoulin",
  title =        "Book Review: {{\booktitle{Modeling Financial Time
                 Series with S-PLUS (2nd Edition)}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "BR-6",
  pages =        "1--2",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/b06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-09; Accepted 2007-02-09",
}

@Book{Shoukri:2007:ACD,
  author =       "M. M. (Mohamed M.) Shoukri and Mohammad A. Chaudhary",
  title =        "Analysis of correlated data with {SAS} and {R}",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  edition =      "Third",
  pages =        "295",
  year =         "2007",
  ISBN =         "1-58488-619-6",
  ISBN-13 =      "978-1-58488-619-8",
  LCCN =         "RA652.2.M3 S53 2007",
  bibdate =      "Tue Sep 6 09:15:00 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 library.ox.ac.uk:210/ADVANCE",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0733/2007000593-d.htm;
                 http://www.loc.gov/catdir/toc/ecip078/2007000593.htm",
  acknowledgement = ack-nhfb,
  remark =       "CD-ROM inside back cover. Originally published:
                 Statistical methods for health sciences. 2nd ed. Boca
                 Raton, Fla.: CRC Press, c1999.",
  subject =      "Epidemiology; Statistical methods",
}

@Article{Smith:2007:BRP,
  author =       "Brian J. Smith",
  title =        "{\tt boa}: An {R} Package for {MCMC} Output
                 Convergence Assessment and Posterior Inference",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "11",
  pages =        "1--37",
  month =        nov,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v21/i11",
  abstract =     "Markov chain Monte Carlo (MCMC) is the most widely
                 used method of estimating joint posterior distributions
                 in Bayesian analysis. The idea of MCMC is to
                 iteratively produce parameter values that are
                 representative samples from the joint posterior. Unlike
                 frequentist analysis where iterative model fitting
                 routines are monitored for convergence to a single
                 point, MCMC output is monitored for convergence to a
                 distribution. Thus, specialized diagnostic tools are
                 needed in the Bayesian setting. To this end, the R
                 package {\tt boa} was created. This manuscript presents
                 the user's manual for {\tt boa}, which outlines the use
                 of and methodology upon which the software is based.
                 Included is a description of the menu system, data
                 management capabilities, and statistical/graphical
                 methods for convergence assessment and posterior
                 inference. Throughout the manual, a linear regression
                 example is used to illustrate the software.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-27; Accepted 2007-10-14",
}

@Article{Starkings:2007:SBRb,
  author =       "Susan Starkings",
  title =        "Short Book Review: {{\booktitle{The R Book}} by
                 Michael J. Crawley}",
  journal =      j-INT-STAT-REV,
  volume =       "75",
  number =       "3",
  pages =        "425--426",
  month =        dec,
  year =         "2007",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2007.00030_16.x;
                 http://dx.doi.org/10.2307/41509895",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:21 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i40074048;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/41509895",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "10 Dec 2007",
}

@Article{Stasinopoulos:2007:GAM,
  author =       "D. Mikis Stasinopoulos and Robert A. Rigby",
  title =        "Generalized Additive Models for Location Scale and
                 Shape ({GAMLSS}) in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "7",
  pages =        "1--46",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i07",
  abstract =     "GAMLSS is a general framework for fitting regression
                 type models where the distribution of the response
                 variable does not have to belong to the exponential
                 family and includes highly skew and kurtotic continuous
                 and discrete distribution. GAMLSS allows all the
                 parameters of the distribution of the response variable
                 to be modeled as linear/non-linear or smooth functions
                 of the explanatory variables. This paper starts by
                 defining the statistical framework of GAMLSS, then
                 describes the current implementation of GAMLSS in R and
                 finally gives four different data examples to
                 demonstrate how GAMLSS can be used for statistical
                 modelling.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-07-19; Accepted 2007-11-28",
}

@Article{Stubben:2007:EAD,
  author =       "Chris Stubben and Brook Milligan",
  title =        "Estimating and Analyzing Demographic Models Using the
                 {\tt popbio} Package in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "11",
  pages =        "1--23",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i11",
  abstract =     "A complete assessment of population growth and
                 viability from field census data often requires complex
                 data manipulations, statistical routines, mathematical
                 tools, programming environments, and graphical
                 capabilities. We therefore designed an R package called
                 {\tt popbio} to facilitate both the construction and
                 analysis of projection matrix models. The package
                 consists primarily of the R translation of MATLAB code
                 found in Caswell (2001) and Morris and Doak (2002) for
                 the analysis of projection matrix models. The package
                 also includes methods to estimate vital rates and
                 construct projection matrix models from census data
                 typically collected in plant demography studies. In
                 these studies, vital rates can often be estimated
                 directly from annual censuses of tagged individuals
                 using transition frequency tables. Because the
                 construction of projection matrix models requires
                 careful management of census data, we describe the
                 steps to construct a projection matrix in detail.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-16; Accepted 2007-08-28",
}

@Article{Su:2007:FSM,
  author =       "Steve Su",
  title =        "Fitting Single and Mixture of Generalized Lambda
                 Distributions to Data via Discretized and Maximum
                 Likelihood Methods: {GLDEX} in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "9",
  pages =        "1--17",
  month =        oct,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v21/i09",
  abstract =     "This paper describes the use of GLDEX in R to fit
                 distributions to empirical data using the discretized
                 and maximum likelihood methods. The GLDEX package also
                 provides diagnostic tests to examine the quality of fit
                 through the resample Kolmogorov-Smirnoff test, quantile
                 plots and comparison of the mean, variance, skewness
                 and kurtosis between the empirical data and the fitted
                 distribution.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-11-07; Accepted 2007-09-15",
}

@Article{Thioulouse:2007:IMD,
  author =       "Jean Thioulouse and St{\'e}phane Dray",
  title =        "Interactive Multivariate Data Analysis in {R} with the
                 {\tt ade4} and {{\tt ade4TkGUI}} Packages",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "5",
  pages =        "1--14",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i05",
  abstract =     "{\tt ade4} is a multivariate data analysis package for
                 the R statistical environment, and {\tt ade4TkGUI} is a
                 Tcl/Tk graphical user interface for the most essential
                 methods of {\tt ade4}. Both packages are available on
                 CRAN. An overview of {\tt ade4TkGUI} is presented, and
                 the pros and cons of this approach are discussed. We
                 conclude that command line interfaces (CLI) and
                 graphical user interfaces (GUI) are complementary. {\tt
                 ade4TkGUI} can be valuable for biologists and
                 particularly for ecologists who are often occasional
                 users of R. It can spare them having to acquire an
                 in-depth knowledge of R, and it can help first time
                 users in a first approach.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-08; Accepted 2007-10-02",
}

@Article{Tyler:2007:BRB,
  author =       "David E. Tyler",
  title =        "Book review: {{\booktitle{Robust Statistical Methods
                 with R}}}",
  journal =      j-J-AM-STAT-ASSOC,
  volume =       "102",
  number =       "478",
  pages =        "759--760",
  month =        jun,
  year =         "2007",
  CODEN =        "JSTNAL",
  DOI =          "http://dx.doi.org/10.1198/jasa.2007.s187",
  ISSN =         "0162-1459 (print), 1537-274X (electronic)",
  ISSN-L =       "0162-1459",
  bibdate =      "Thu Aug 26 11:26:31 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/jasa/;
                 http://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of the American Statistical Association",
  journal-URL =  "http://www.tandfonline.com/loi/uasa20",
}

@Article{vanderArk:2007:MSA,
  author =       "L. Andries van der Ark",
  title =        "{Mokken} Scale Analysis in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "11",
  pages =        "1--19",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v20/i11",
  abstract =     "Mokken scale analysis (MSA) is a scaling procedure for
                 both dichotomous and polytomous items. It consists of
                 an item selection algorithm to partition a set of items
                 into Mokken scales and several methods to check the
                 assumptions of two nonparametric item response theory
                 models: the monotone homogeneity model and the double
                 monotonicity model. First, we present an R package
                 mokken for MSA and explain the procedures. Second, we
                 show how to perform MSA in R using test data obtained
                 with the Adjective Checklist.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-02-22",
}

@Article{Wickham:2007:RG,
  author =       "Hadley Wickham and Dianne Cook",
  title =        "{R} Graphics",
  journal =      j-AMER-STAT,
  volume =       "61",
  number =       "1",
  pages =        "99--100",
  month =        feb,
  year =         "2007",
  CODEN =        "ASTAAJ",
  DOI =          "http://pubs.amstat.org/doi/pdfplus/10.1198/tas.2007.s72",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Aug 26 21:48:27 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Article{Yuan:2007:MLM,
  author =       "Lester L. Yuan",
  title =        "Maximum Likelihood Method for Predicting Environmental
                 Conditions from Assemblage Composition: The {R} Package
                 {\tt bio.infer}",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "3",
  pages =        "1--20",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i03",
  abstract =     "This paper provides a brief introduction to the R
                 package {\tt bio.infer}, a set of scripts that
                 facilitates the use of maximum likelihood (ML) methods
                 for predicting environmental conditions from assemblage
                 composition. Environmental conditions can often be
                 inferred from only biological data, and these
                 inferences are useful when other sources of data are
                 unavailable. ML prediction methods are statistically
                 rigorous and applicable to a broader set of problems
                 than more commonly used weighted averaging techniques.
                 However, ML methods require a substantially greater
                 investment of time to program algorithms and to perform
                 computations. This package is designed to reduce the
                 effort required to apply ML prediction methods.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-10; Accepted 2007-06-22",
}

@Book{Baclawski:2008:IPR,
  author =       "Kenneth Baclawski",
  title =        "Introduction to probability with {R}",
  volume =       "75",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  pages =        "xvi + 363",
  year =         "2008",
  ISBN =         "1-4200-6521-1 (hardcover)",
  ISBN-13 =      "978-1-4200-6521-3 (hardcover)",
  LCCN =         "QA273 .B2535 2008",
  bibdate =      "Tue Apr 29 20:39:05 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/probstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 prodorbis.library.yale.edu:7090/voyager;
                 z3950.loc.gov:7090/Voyager",
  series =       "Chapman and Hall/CRC texts in statistical science
                 series",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0803/2007041288-d.html;
                 http://www.loc.gov/catdir/toc/ecip082/2007041288.html",
  acknowledgement = ack-nhfb,
  subject =      "Probabilities; R (Computer program language);
                 Mathematical models",
  tableofcontents = "Sets, events, and probability \\
                 Finite processes \\
                 Discrete random variables \\
                 General random variables \\
                 Statistics and the normal distribution \\
                 Conditional probability \\
                 The Poisson process \\
                 Randomization and compound processes \\
                 Entropy and information \\
                 Markov chains \\
                 Random walks \\
                 Memorylessness and scale-invariance",
}

@Book{Bartoszynski:2008:PSI,
  author =       "Robert Bartoszy{\'n}ski and Magdalena
                 Niewiadomska-Bugaj",
  title =        "Probability and statistical inference",
  publisher =    pub-WILEY-INTERSCIENCE,
  address =      pub-WILEY-INTERSCIENCE:adr,
  edition =      "Second",
  pages =        "xii + 647",
  year =         "2008",
  ISBN =         "0-471-69693-5 (hardcover)",
  ISBN-13 =      "978-0-471-69693-3 (hardcover)",
  LCCN =         "QA273 .B2584 2008",
  bibdate =      "Wed Sep 15 09:42:15 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0826/2008271954-b.html;
                 http://www.loc.gov/catdir/enhancements/fy0826/2008271954-d.html;
                 http://www.loc.gov/catdir/enhancements/fy0826/2008271954-t.html;
                 http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471696935.html",
  acknowledgement = ack-nhfb,
  remark =       "Previous edition: Chichester: Wiley, 1996.",
  subject =      "probabilities; mathematical statistics",
}

@Article{Bates:2008:SBRa,
  author =       "Douglas M. Bates",
  title =        "Short Book Review: {{\booktitle{Data Manipulation with
                 R}} by Phil Spector}",
  journal =      j-INT-STAT-REV,
  volume =       "76",
  number =       "2",
  pages =        "324--325",
  month =        aug,
  year =         "2008",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2008.00054_25.x;
                 http://dx.doi.org/10.2307/27919643",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:22 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919607;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919643",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "28 Jul 2008",
}

@Article{Bates:2008:SBRb,
  author =       "Douglas M. Bates",
  title =        "Short Book Review: {{\booktitle{Probability and
                 Statistics with R}} by Maria Dolores Ugarte, Ana F.
                 Militino, Alan T. Arnholt}",
  journal =      j-INT-STAT-REV,
  volume =       "76",
  number =       "3",
  pages =        "447--448",
  month =        dec,
  year =         "2008",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2008.00062_12.x;
                 http://dx.doi.org/10.2307/27919667",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:22 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919648;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919667",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "3 Dec 2008",
}

@Book{Bivand:2008:ASD,
  author =       "Roger S. Bivand and Edzer J. Pebesma and Virgilio
                 G{\'o}mez-Rubio",
  title =        "Applied spatial data analysis with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xiv + 374",
  year =         "2008",
  ISBN =         "0-387-78170-6",
  ISBN-13 =      "978-0-387-78170-9",
  LCCN =         "????",
  bibdate =      "Sat Jun 13 10:06:25 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.gbv.de:20011/gvk",
  price =        "EUR 48.10; SFR 75.00",
  series =       "Use R!",
  URL =          "http://deposit.d-nb.de/cgi-bin/dokserv?id=3087668&prov=M&dok_var=1&dok_ext=htm",
  acknowledgement = ack-nhfb,
}

@Article{Brock:2008:CRP,
  author =       "Guy Brock and Vasyl Pihur and Susmita Datta and
                 Somnath Datta",
  title =        "{{\tt clValid}}: An {R} Package for Cluster
                 Validation",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "4",
  pages =        "1--22",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i04",
  abstract =     "The R package {\tt clValid} contains functions for
                 validating the results of a clustering analysis. There
                 are three main types of cluster validation measures
                 available, ``internal'', ``stability'', and
                 ``biological''. The user can choose from nine
                 clustering algorithms in existing R packages, including
                 hierarchical, K-means, self-organizing maps (SOM), and
                 model-based clustering. In addition, we provide a
                 function to perform the self-organizing tree algorithm
                 (SOTA) method of clustering. Any combination of
                 validation measures and clustering methods can be
                 requested in a single function call. This allows the
                 user to simultaneously evaluate several clustering
                 algorithms while varying the number of clusters, to
                 help determine the most appropriate method and number
                 of clusters for the dataset of interest. Additionally,
                 the package can automatically make use of the
                 biological information contained in the Gene Ontology
                 (GO) database to calculate the biological validation
                 measures, via the annotation packages available in
                 Bioconductor. The function returns an object of S4
                 class ``{\tt clValid}'', which has summary, plot,
                 print, and additional methods which allow the user to
                 display the optimal validation scores and extract
                 clustering results.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-03; Accepted 2008-01-22",
}

@Article{Butts:2008:NPM,
  author =       "Carter T. Butts",
  title =        "{\tt network}: {A} Package for Managing Relational
                 Data in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "24",
  number =       "2",
  pages =        "1--36",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v24/i02",
  abstract =     "Effective memory structures for relational data within
                 R must be capable of representing a wide range of data
                 while keeping overhead to a minimum. The {\tt network}
                 package provides a class which may be used for encoding
                 complex relational structures composed a vertex set
                 together with any combination of undirected/directed,
                 valued/unvalued, dyadic/hyper, and single/multiple
                 edges; storage requirements are on the order of the
                 number of edges involved. Some simple constructor,
                 interface, and visualization functions are provided, as
                 well as a set of operators to facilitate employment by
                 end users. The package also supports a C-language API,
                 which allows developers to work directly with {\tt
                 network} objects within backend code.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-01; Accepted 2007-12-25",
}

@Article{Cao:2008:ORP,
  author =       "Kim-Anh L{\^e} Cao and Patrick Chabrier",
  title =        "{\tt ofw}: An {R} Package to Select Continuous
                 Variables for Multiclass Classification with a
                 Stochastic Wrapper Method",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "9",
  pages =        "??--??",
  month =        nov,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v28/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-02-13; Accepted 2008-07-25",
}

@Book{Chambers:2008:SDA,
  author =       "John M. Chambers",
  title =        "Software for data analysis: programming with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xiv + 498",
  year =         "2008",
  ISBN =         "0-387-75935-2, 0-387-75936-0",
  ISBN-13 =      "978-0-387-75935-7, 978-0-387-75936-4",
  LCCN =         "QA276.45.R3 C43 2008",
  bibdate =      "Sat Jun 13 09:37:19 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Statistics and computing",
  acknowledgement = ack-nhfb,
  subject =      "numerical analysis; data processing; R (Computer
                 programming language)",
}

@Book{Chang:2008:ADT,
  author =       "Mark Chang",
  title =        "Adaptive design theory and implementation using {SAS}
                 and {R}",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  pages =        "xxii + 418",
  year =         "2008",
  ISBN =         "1-58488-962-4",
  ISBN-13 =      "978-1-58488-962-5",
  LCCN =         "R853.C55 C42 2008",
  bibdate =      "Thu Jul 10 08:38:53 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Chapman and Hall/CRC biostatistics series",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0801/2007011412-d.html;
                 http://www.loc.gov/catdir/toc/ecip0713/2007011412.html",
  acknowledgement = ack-nhfb,
  subject =      "Clinical trials; Design; Computer simulation;
                 Statistical methods; Adaptive sampling (Statistics);
                 SAS (Computer file); R (Computer program language);
                 methods; Research Design; Biometry; Data
                 Interpretation, Statistical; Software",
  tableofcontents = "Introduction \\
                 Classic Design \\
                 Multiplicity in Classic Design \\
                 Theory of Adaptive Design \\
                 Method with Direct Combination of P-values \\
                 Method with Combination of Inverse-Normal P-values \\
                 Conditional Error Approach \\
                 Implementation of K-stage Design \\
                 Recursive Two-Stage Adaptive Design \\
                 Sample Size Re-estimation \\
                 Drop-loser and Seamless Designs \\
                 Biomarker Adaptive Design Multiple-Endpoint Adaptive
                 Trials \\
                 Response-Adaptive Randomization \\
                 Response-Adaptive Treatment Switching \\
                 Bayesian Approach and Decision Theory \\
                 Clinical Trial Simulation \\
                 Opportunity, Challenges, and Recommendations",
}

@Book{Claude:2008:MR,
  author =       "Julien Claude",
  title =        "Morphometrics with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xviii + 316",
  year =         "2008",
  ISBN =         "0-387-77789-X (paperback)",
  ISBN-13 =      "978-0-387-77789-4 (paperback)",
  LCCN =         "QH351 .C53 2008",
  bibdate =      "Thu Jul 10 08:42:47 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  abstract =     "Quantifying shape and size variation is essential in
                 evolutionary biology and in many other disciplines.
                 Since the ``morphometric revolution of the 90s,'' an
                 increasing number of publications in applied and
                 theoretical morphometrics emerged in the new discipline
                 of statistical shape analysis. The R language and
                 environment offers a single platform to perform a
                 multitude of analyses from the acquisition of data to
                 the production of static and interactive graphs. This
                 offers an ideal environment to analyze shape variation
                 and shape change.",
  acknowledgement = ack-nhfb,
  subject =      "Morphology; Statistical methods; Data processing; R
                 (Computer program language)",
  tableofcontents = "Contributors. \\
                 Abbreviations and notations \\
                 Introduction \\
                 Acquiring and manipulating morphometric data \\
                 Traditional statistics for morphometrics \\
                 Modern morphometrics based on configurations of
                 landmarks \\
                 Statistical analysis of shape using modern
                 morphometrics \\
                 Going further with R \\
                 Appendix A: functions developed in this text \\
                 Appendix B: packages used in this text \\
                 References \\
                 Index",
}

@Book{Cohen:2008:SDR,
  author =       "Yosef Cohen and Jeremiah Y. Cohen",
  title =        "Statistics and data with {R}: an applied approach
                 through examples",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "xviii + 599",
  year =         "2008",
  ISBN =         "0-470-75805-8 (cloth), 0-470-72188-X (e-book)",
  ISBN-13 =      "978-0-470-75805-2 (cloth), 978-0-470-72188-9
                 (e-book)",
  LCCN =         "QA276.45.R3 C64 2008",
  bibdate =      "Wed Sep 15 09:40:50 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/toc/ecip0824/2008032153.html;
                 http://www.wiley.com/WileyCDA/WileyTitle/productCd-047072188X.html;
                 http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470758058.html",
  acknowledgement = ack-nhfb,
  subject =      "mathematical statistics; data processing; R (computer
                 programming language)",
}

@Book{Cornillon:2008:SAR,
  author =       "Pierre-Andr{\'e} Cornillon and Arnaud Guyader and
                 Fran{\c{c}}ois Husson and Nicolas J{\'e}gou and Julie
                 Josse and Maela Kloareg and Eric Matzner-L{\o}ber and
                 Laurent Rouvi{\`e}re",
  title =        "Statistiques avec {R}",
  publisher =    "Presses universitaires de Rennes",
  address =      "Rennes, France",
  pages =        "v + 257",
  year =         "2008",
  ISBN =         "2-7535-0722-8",
  ISBN-13 =      "978-2-7535-0722-7",
  LCCN =         "QA276.45 R3 S797 2008",
  bibdate =      "Thu Jul 10 13:10:39 MDT 2014",
  bibsource =    "fsz3950.oclc.org:210/WorldCat;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Didact statistique",
  acknowledgement = ack-nhfb,
}

@Article{Crookston:2008:YRP,
  author =       "Nicholas L. Crookston and Andrew O. Finley",
  title =        "{{\tt yaImpute}}: An {R} Package for {kNN}
                 Imputation",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "10",
  pages =        "1--16",
  month =        jan,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i10",
  abstract =     "This article introduces {\tt yaImpute}, an R package
                 for nearest neighbor search and imputation. Although
                 nearest neighbor imputation is used in a host of
                 disciplines, the methods implemented in the {\tt
                 yaImpute} package are tailored to imputation-based
                 forest attribute estimation and mapping. The impetus to
                 writing the {\tt yaImpute} is a growing interest in
                 nearest neighbor imputation methods for spatially
                 explicit forest inventory, and a need within this
                 research community for software that facilitates
                 comparison among different nearest neighbor search
                 algorithms and subsequent imputation techniques. {\tt
                 yaImpute} provides directives for defining the search
                 space, subsequent distance calculation, and imputation
                 rules for a given number of nearest neighbors. Further,
                 the package offers a suite of diagnostics for
                 comparison among results generated from different
                 imputation analyses and a set of functions for mapping
                 imputation results.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-20; Accepted 2007-10-10",
}

@Book{Cryer:2008:TSA,
  author =       "Jonathan D. Cryer and Kung-sik Chan",
  title =        "Time series analysis: with applications in {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Second",
  pages =        "xiii + 491",
  year =         "2008",
  DOI =          "http://dx.doi.org/10.1007/978-0-387-75959-3",
  ISBN =         "1-4419-2613-5 (paperback), 0-387-75958-1,
                 0-387-75959-X (e-book)",
  ISBN-13 =      "978-1-4419-2613-5 (paperback), 978-0-387-75958-6,
                 978-0-387-75959-3 (e-book)",
  LCCN =         "QA280 .C78 2008",
  bibdate =      "Thu Jul 10 09:44:41 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Springer texts in statistics",
  URL =          "http://www.loc.gov/catdir/toc/fy0804/2008923058.html",
  acknowledgement = ack-nhfb,
  subject =      "Time-series analysis; Data processing; R (Computer
                 program language)",
  tableofcontents = "Introduction \\
                 Fundamental concepts \\
                 Trends \\
                 Models for stationary time series \\
                 Models for nonstationary time series \\
                 Model specification \\
                 Parameter estimation \\
                 Model diagnostics \\
                 Forecasting \\
                 Seasonal models \\
                 Time series regression models \\
                 Time series models of heteroscedasticity \\
                 Introduction to spectral analysis \\
                 Estimating the spectrum \\
                 Threshold models \\
                 Appendix: an introduction to R",
}

@Book{Dalgaard:2008:ISR,
  author =       "Peter Dalgaard",
  title =        "Introductory Statistics with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Second",
  pages =        "xvi + 363",
  year =         "2008",
  ISBN =         "0-387-79053-5 (paperback)",
  ISBN-13 =      "978-0-387-79053-4 (paperback)",
  ISSN =         "1431-8784",
  LCCN =         "QA276.45.R3 D35 2008",
  bibdate =      "Sat Jun 13 08:44:00 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Statistics and computing",
  acknowledgement = ack-nhfb,
  remark =       "First edition \cite{Dalgaard:2002:ISR}.",
  subject =      "statistics; data processing; R (Computer program
                 language)",
}

@Article{Dutang:2008:ARP,
  author =       "Christophe Dutang and Vincent Goulet and Mathieu
                 Pigeon",
  title =        "{\tt actuar}: An {R} Package for Actuarial Science",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "7",
  pages =        "1--37",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i07",
  abstract =     "{\tt actuar} is a package providing additional
                 Actuarial Science functionality to the R statistical
                 system. The project was launched in 2005 and the
                 package is available on the Comprehensive R Archive
                 Network since February 2006. The current version of the
                 package contains functions for use in the fields of
                 loss distributions modeling, risk theory (including
                 ruin theory), simulation of compound hierarchical
                 models and credibility theory. This paper presents in
                 detail but with few technical terms the most recent
                 version of the package.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-11-16; Accepted 2008-02-14",
}

@Article{Feinerer:2008:TMI,
  author =       "Ingo Feinerer and Kurt Hornik and David Meyer",
  title =        "Text Mining Infrastructure in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "5",
  pages =        "1--54",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i05",
  abstract =     "During the last decade text mining has become a widely
                 used discipline utilizing statistical and machine
                 learning methods. We present the {\tt tm} package which
                 provides a framework for text mining applications
                 within R. We give a survey on text mining facilities in
                 R and explain how typical application tasks can be
                 carried out using our framework. We present techniques
                 for count-based analysis methods, text clustering, text
                 classification and string kernels.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-05; Accepted 2008-02-10",
}

@Article{Feng:2008:CDI,
  author =       "Dai Feng and Luke Tierney",
  title =        "Computing and Displaying Isosurfaces in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "1",
  pages =        "??--??",
  month =        sep,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v28/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-05-28; Accepted 2008-09-04",
}

@TechReport{Filzmoser:2008:LRS,
  author =       "Peter Filzmoser",
  title =        "{\LaTeX} and {R} via {Sweave}: An example document how
                 to use {Sweave}",
  type =         "Technical report",
  institution =  "Vienna University of Technology",
  address =      "Wiedner Haupstra{\ss}e 8-10, A-1040 Wien, Austria",
  pages =        "6",
  day =          "12",
  month =        mar,
  year =         "2008",
  bibdate =      "Sat Jul 5 19:14:35 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/litprog.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.statistik.tuwien.ac.at/public/filz/students/SweaveExa.pdf",
  acknowledgement = ack-nhfb,
}

@Article{Freeman:2008:PRP,
  author =       "Elizabeth A. Freeman and Gretchen Moisen",
  title =        "{{\tt PresenceAbsence}}: An {R} Package for Presence
                 Absence Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "11",
  pages =        "1--31",
  month =        jan,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i11",
  abstract =     "The {\tt PresenceAbsence} package for R provides a set
                 of functions useful when evaluating the results of
                 presence-absence analysis, for example, models of
                 species distribution or the analysis of diagnostic
                 tests. The package provides a toolkit for selecting the
                 optimal threshold for translating a probability surface
                 into presence-absence maps specifically tailored to
                 their intended use. The package includes functions for
                 calculating threshold dependent measures such as
                 confusion matrices, percent correctly classified (PCC),
                 sensitivity, specificity, and Kappa, and produces plots
                 of each measure as the threshold is varied. It also
                 includes functions to plot the Receiver Operator
                 Characteristic (ROC) curve and calculates the
                 associated area under the curve (AUC), a threshold
                 independent measure of model quality. Finally, the
                 package computes optimal thresholds by multiple
                 criteria, and plots these optimized thresholds on the
                 graphs.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-19; Accepted 2008-01-08",
}

@Article{Gonzalez:2008:CRP,
  author =       "Ignacio Gonz{\'a}lez and S{\'e}bastien D{\'e}jean and
                 Pascal G. P. Martin and Alain Baccini",
  title =        "{{\tt CCA}}: An {R} Package to Extend Canonical
                 Correlation Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "12",
  pages =        "1--14",
  month =        jan,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i12",
  abstract =     "Canonical correlations analysis (CCA) is an
                 exploratory statistical method to highlight
                 correlations between two data sets acquired on the same
                 experimental units. The {\tt cancor()} function in R (R
                 Development Core Team 2007) performs the core of
                 computations but further work was required to provide
                 the user with additional tools to facilitate the
                 interpretation of the results. We implemented an R
                 package, {\tt CCA}, freely available from the
                 Comprehensive R Archive Network (CRAN,
                 \path=http://CRAN.R-project.org/=), to develop
                 numerical and graphical outputs and to enable the user
                 to handle missing values. The {\tt CCA} package also
                 includes a regularized version of {\tt CCA} to deal
                 with data sets with more variables than units.
                 Illustrations are given through the analysis of a data
                 set coming from a nutrigenomic study in the mouse.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-03-20; Accepted 2007-12-04",
}

@Article{Grothendieck:2008:BRB,
  author =       "Gabor Grothendieck",
  title =        "Book Review: {{\booktitle{lattice: Multivariate Data
                 Visualization with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "BR-2",
  pages =        "1--3",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-05-08; Accepted 2008-05-08",
}

@Article{Hahsler:2008:GTO,
  author =       "Michael Hahsler and Kurt Hornik and Christian Buchta",
  title =        "Getting Things in Order: An Introduction to the {R}
                 Package {\tt seriation}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "3",
  pages =        "1--34",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i03",
  abstract =     "Seriation, i.e., finding a suitable linear order for a
                 set of objects given data and a loss or merit function,
                 is a basic problem in data analysis. Caused by the
                 problem's combinatorial nature, it is hard to solve for
                 all but very small sets. Nevertheless, both exact
                 solution methods and heuristics are available. In this
                 paper we present the package {\tt seriation} which
                 provides an infrastructure for seriation with R. The
                 infrastructure comprises data structures to represent
                 linear orders as permutation vectors, a wide array of
                 seriation methods using a consistent interface, a
                 method to calculate the value of various loss and merit
                 functions, and several visualization techniques which
                 build on {\tt seriation}. To illustrate how easily the
                 package can be applied for a variety of applications, a
                 comprehensive collection of examples is presented.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-11; Accepted 2008-02-05",
}

@Article{Hanley:2008:SWI,
  author =       "James A. Hanley and Marilyse Julien and Erica E. M.
                 Moodie",
  title =        "{Student}'s $z$, $t$, and $s$: What if {Gosset} had
                 {R}?",
  journal =      j-AMER-STAT,
  volume =       "62",
  number =       "1",
  pages =        "64--69",
  month =        feb,
  year =         "2008",
  CODEN =        "ASTAAJ",
  DOI =          "http://pubs.amstat.org/doi/pdfplus/10.1198/000313008X269602",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Apr 24 06:00:47 2014",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Book{Hartung:2008:SMA,
  author =       "Joachim Hartung and Guido Knapp and Bimal K. Sinha",
  title =        "Statistical meta-analysis with applications",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "xv + 247",
  year =         "2008",
  ISBN =         "0-470-29089-7 (cloth), 0-470-38633-9 (e-book)",
  ISBN-13 =      "978-0-470-29089-7 (cloth), 978-0-470-38633-0
                 (e-book)",
  LCCN =         "QA277 .H373 2008",
  bibdate =      "Wed Sep 15 09:38:18 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Wiley series in probability and statistics",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0811/2008009435-d.html;
                 http://www.loc.gov/catdir/enhancements/fy0814/2008009435-t.html;
                 http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470386339.html",
  abstract =     "Statistical Meta-Analysis with Applications presents
                 the necessary statistical methodologies that allow
                 readers to tackle the four main stages of
                 meta-analysis: problem formulation, data collection,
                 data evaluation, and data analysis and interpretation.
                 Combining the authors' expertise on the topic with a
                 wealth of up-to-date information, this book
                 successfully introduces the essential statistical
                 practices for making thorough and accurate discoveries
                 across a wide array of diverse fields, such as
                 business, public health, biostatistics, and
                 environmental studies.",
  acknowledgement = ack-nhfb,
  subject =      "statistical hypothesis testing; meta-analysis;
                 meta-analysis as topic; data interpretation,
                 statistical; statistics as topic; methods",
  tableofcontents = "Introduction \\
                 Various measures of effect size \\
                 Combining independent tests \\
                 Methods of combining effect sizes \\
                 Inference about a common mean of several univariate
                 normal populations \\
                 Tests of homogeneity in meta-analysis \\
                 One-way random effects model \\
                 Combining controlled trials with normal outcomes \\
                 Combining controlled trials with discrete outcomes \\
                 Meta-regression \\
                 Multivariate meta-analysis \\
                 Bayesian meta-analysis \\
                 Publication bias \\
                 14. Recovery of inter-block information \\
                 Combination of polls \\
                 Vote counting procedures \\
                 Computational aspects data sets",
}

@Article{Hui:2008:LRP,
  author =       "Wallace Hui and Yulia R. Gel and Joseph L. Gastwirth",
  title =        "{\tt lawstat}: An {R} Package for Law, Public Policy
                 and Biostatistics",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "3",
  pages =        "??--??",
  month =        oct,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v28/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-11-12; Accepted 2008-01-11",
}

@Article{Hyndman:2008:ATS,
  author =       "Rob J. Hyndman and Yeasmin Khandakar",
  title =        "Automatic Time Series Forecasting: The {\tt forecast}
                 Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "27",
  number =       "3",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v27/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-05-29; Accepted 2008-03-22",
}

@Article{Iacus:2008:IMF,
  author =       "Stefano Iacus and Giuseppe Porro",
  title =        "Invariant and Metric Free Proximities for Data
                 Matching: An {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "11",
  pages =        "1--22",
  month =        apr,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i11",
  abstract =     "Data matching is a typical statistical problem in non
                 experimental and/or observational studies or, more
                 generally, in cross-sectional studies in which one or
                 more data sets are to be compared. Several methods are
                 available in the literature, most of which based on a
                 particular metric or on statistical models, either
                 parametric or nonparametric. In this paper we present
                 two methods to calculate a proximity which have the
                 property of being invariant under monotonic
                 transformations. These methods require at most the
                 notion of ordering. An open-source software in the form
                 of a R package is also presented.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-03-19; Accepted 2008-03-31",
  remark =       "Describes package {\tt rrp}.",
}

@Book{Iacus:2008:SIS,
  author =       "Stefano M. Iacus",
  title =        "Simulation and Inference for Stochastic Differential
                 Equations: With {R} Examples",
  volume =       "??",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xviii + 284",
  year =         "2008",
  CODEN =        "????",
  DOI =          "http://dx.doi.org/10.1007/978-0-387-75839-8",
  ISBN =         "0-387-75839-9, 0-387-75838-0",
  ISBN-13 =      "978-0-387-75839-8, 978-0-387-75838-1",
  ISSN =         "0172-7397",
  ISSN-L =       "0172-7397",
  LCCN =         "QA274.23 .I23 2008",
  bibdate =      "Thu Jun 19 06:41:21 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/probstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Springer Series in Statistics",
  URL =          "http://link.springer.com/book/10.1007/978-0-387-75839-8",
  abstract =     "This book is unique because of its focus on the
                 practical implementation of the simulation and
                 estimation methods presented. The book will be useful
                 to practitioners and students with only a minimal
                 mathematical background because of the many R programs,
                 and to more mathematically-educated practitioners. Many
                 of the methods presented in the book have not been used
                 much in practice because the lack of an implementation
                 in a unified framework. This book fills the gap. With
                 the R code included in this book, a lot of useful
                 methods become easy to use for practitioners and
                 students. An R package called ``sde'' provides
                 functions with easy interfaces ready to be used on
                 empirical data from real life applications. Although it
                 contains a wide range of results, the book has an
                 introductory character and necessarily does not cover
                 the whole spectrum of simulation and inference for
                 general stochastic differential equations. The book is
                 organized into four chapters. The first one introduces
                 the subject and presents several classes of processes
                 used in many fields of mathematics, computational
                 biology, finance and the social sciences. The second
                 chapter is devoted to simulation schemes and covers new
                 methods not available in other publications. The third
                 one focuses on parametric estimation techniques. In
                 particular, it includes exact likelihood inference,
                 approximated and pseudo-likelihood methods, estimating
                 functions, generalized method of moments, and other
                 techniques. The last chapter contains miscellaneous
                 topics like nonparametric estimation, model
                 identification and change point estimation. The reader
                 who is not an expert in the R language will find a
                 concise introduction to this environment focused on the
                 subject of the book. A documentation page is available
                 at the end of the book for each R function presented in
                 the book. Stefano M. Iacus is associate professor of
                 Probability and Mathematical Statistics at the
                 University of Milan, Department of Economics, Business
                 and Statistics. He has a PhD in Statistics at Padua
                 University, Italy and in Mathematics at Universit{\'e}
                 du Maine, France. He is a member of the R Core team for
                 the development of the R statistical environment, Data
                 Base manager for the Current Index to Statistics, and
                 IMS Group Manager for the Institute of Mathematical
                 Statistics. He has been associate editor of the Journal
                 of Statistical Software.",
  acknowledgement = ack-nhfb,
  remark =       "Most volumes in this series are unnumbered.",
  series-URL =   "http://link.springer.com/bookseries/692",
  subject =      "Stochastic differential equations; Stochastic
                 Processes; Signal, Image and Speech Processing;
                 Simulation and Modeling; Quantitative Finance;
                 Statistics and Computing/Statistics Programs;
                 Computational Mathematics and Numerical Analysis;
                 {\'E}quations diff{\'e}rentielles stochastiques;
                 MATHEMATICS; Probability and Statistics; General;
                 Interferenz; Stochastische Differentialgleichung;
                 Stochastik; Simulation; Stochastic differential
                 equations.",
  tableofcontents = "Stochastic processes and stochastic differential
                 equations \\
                 Numerical methods for SDE \\
                 Parametric estimation \\
                 Miscellaneous topics",
}

@Article{Kiermeier:2008:VAA,
  author =       "Andreas Kiermeier",
  title =        "Visualizing and Assessing Acceptance Sampling Plans:
                 The {R} Package {{\tt AcceptanceSampling}}",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "6",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v26/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-29; Accepted 2008-06-24",
}

@Book{Kleiber:2008:AER,
  author =       "Christian Kleiber and Achim Zeileis",
  title =        "Applied Econometrics with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "x + 221",
  year =         "2008",
  ISBN =         "0-387-77316-9",
  ISBN-13 =      "978-0-387-77316-2",
  LCCN =         "QA276.45.R3 K58 2008",
  bibdate =      "Thu Jul 10 08:55:16 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0903/2008934356-d.html;
                 http://www.loc.gov/catdir/enhancements/fy0903/2008934356-t.html",
  abstract =     "This is the first book on applied econometrics using
                 the R system for statistical computing and graphics. It
                 presents hands-on examples for a wide range of
                 econometric models, from classical linear regression
                 models for cross-section, time series or panel data and
                 the common non-linear models of microeconometrics such
                 as logit, probit and tobit models, to recent
                 semiparametric extensions. In addition, it provides a
                 chapter on programming, including simulations,
                 optimization, and an introduction to R tools enabling
                 reproducible econometric research.\par

                 The goal of this book is to provide a guide to R for
                 users with a background in economics or the social
                 sciences. Readers are assumed to have a background in
                 basic statistics and econometrics at the undergraduate
                 level. A large number of examples should make the book
                 of interest to graduate students, researchers and
                 practitioners alike.",
  acknowledgement = ack-nhfb,
  author-dates = "1966--",
  subject =      "R (Computer program language); Econometrics; Data
                 processing; Statistics; Business; Management;
                 MATHEMATICS; Probability and Statistics; General; R
                 (Programm); {\"O}konometrie; Data processing; R
                 (Computer program language); Science {\'e}conomique;
                 Affaires; {\'E}conomie de l'entreprise.",
  tableofcontents = "Introduction \\
                 Basics \\
                 Linear Regression \\
                 Diagnostics and alternative methods of regression \\
                 Models of microeconometrics \\
                 Time series \\
                 Programming your own analysis \\
                 References \\
                 Index",
}

@Article{Knoblauch:2008:MML,
  author =       "Kenneth Knoblauch and Laurence T. Maloney",
  title =        "{MLDS}: Maximum Likelihood Difference Scaling in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "2",
  pages =        "1--26",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i02",
  abstract =     "The {\tt MLDS} package in the R programming language
                 can be used to estimate perceptual scales based on the
                 results of psychophysical experiments using the method
                 of difference scaling. In a difference scaling
                 experiment, observers compare two supra-threshold
                 differences (a,b) and (c,d) on each trial. The approach
                 is based on a stochastic model of how the observer
                 decides which perceptual difference (or interval) (a,b)
                 or (c,d) is greater, and the parameters of the model
                 are estimated using a maximum likelihood criterion. We
                 also propose a method to test the model by evaluating
                 the self-consistency of the estimated scale. The
                 package includes an example in which an observer judges
                 the differences in correlation between scatterplots.
                 The example may be readily adapted to estimate
                 perceptual scales for arbitrary physical continua.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-17; Accepted 2008-01-09",
}

@Article{Kuhn:2008:BPM,
  author =       "Max Kuhn",
  title =        "Building Predictive Models in {R} Using the {\tt
                 caret} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "5",
  pages =        "??--??",
  month =        nov,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v28/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-04-22; Accepted 2008-08-18",
}

@Article{Le:2008:FRP,
  author =       "S{\'e}bastien L{\^e} and Julie Josse and
                 Fran{\c{c}}ois Husson",
  title =        "{{\tt FactoMineR}}: An {R} Package for Multivariate
                 Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "1",
  pages =        "1--18",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i01",
  abstract =     "In this article, we present {\tt FactoMineR} an R
                 package dedicated to multivariate data analysis. The
                 main features of this package is the possibility to
                 take into account different types of variables
                 (quantitative or categorical), different types of
                 structure on the data (a partition on the variables, a
                 hierarchy on the variables, a partition on the
                 individuals) and finally supplementary information
                 (supplementary individuals and variables). Moreover,
                 the dimensions issued from the different exploratory
                 data analyses can be automatically described by
                 quantitative and/or categorical variables. Numerous
                 graphics are also available with various options.
                 Finally, a graphical user interface is implemented
                 within the {\tt Rcmdr} environment in order to propose
                 an user friendly package.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-05; Accepted 2008-01-09",
}

@Article{Leiva:2008:RPG,
  author =       "V{\'\i}ctor Leiva and Hugo Hern{\'a}ndez and Antonio
                 Sanhueza",
  title =        "An {R} Package for a General Class of Inverse
                 {Gaussian} Distributions",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "4",
  pages =        "1--21",
  month =        jun,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v26/i04",
  abstract =     "The inverse Gaussian distribution is a positively
                 skewed probability model that has received great
                 attention in the last 20 years. Recently, a family that
                 generalizes this model called inverse Gaussian type
                 distributions has been developed. The new R package
                 named {\tt ig} has been designed to analyze data from
                 inverse Gaussian type distributions. This package
                 contains basic probabilistic functions, lifetime
                 indicators and a random number generator from this
                 model. Also, parameter estimates and diagnostics
                 analysis can be obtained using likelihood methods by
                 means of this package. In addition, goodness-of-fit
                 methods are implemented in order to detect the
                 suitability of the model to the data. The capabilities
                 and features of the {\tt ig} package are illustrated
                 using simulated and real data sets. Furthermore, some
                 new results related to the inverse Gaussian type
                 distribution are also obtained. Moreover, a simulation
                 study is conducted for evaluating the estimation method
                 implemented in the {\tt ig} package.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-13; Accepted 2008-03-31",
  remark =       "Describes package {\tt ig}.",
}

@Book{Leuangthong:2008:SPG,
  author =       "Oy Leuangthong and K. Daniel Khan and Clayton V.
                 Deutsch",
  title =        "Solved problems in geostatistics",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "vii + 207",
  year =         "2008",
  ISBN =         "0-470-17792-6 (paperback)",
  ISBN-13 =      "978-0-470-17792-1 (paperback)",
  LCCN =         "QE33.2.S82 L48 2008",
  bibdate =      "Wed Sep 15 09:36:31 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/toc/ecip0811/2008007625.html;
                 http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470177926.html",
  acknowledgement = ack-nhfb,
  subject =      "geology; statistical methods; problems, exercises,
                 etc; data processing",
}

@Article{Maindonald:2008:SBR,
  author =       "John H. Maindonald",
  title =        "Short Book Review: {{\booktitle{Interactive and
                 Dynamic Graphics for Data Analysis --- With R and
                 GGobi}} by Dianne Cook; Deborah F. Swayne}",
  journal =      j-INT-STAT-REV,
  volume =       "76",
  number =       "3",
  pages =        "437--438",
  month =        dec,
  year =         "2008",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2008.00062_2.x;
                 http://dx.doi.org/10.2307/27919657",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:22 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919648;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919657",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "3 Dec 2008",
}

@Article{McLeod:2008:ISA,
  author =       "A. Ian McLeod and Ying Zhang",
  title =        "Improved Subset Autoregression: With {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "2",
  pages =        "??--??",
  month =        oct,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v28/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-08-26; Accepted 2008-07-03",
}

@Book{Nason:2008:WMS,
  author =       "G. P. Nason",
  title =        "Wavelet methods in statistics with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "x + 257",
  year =         "2008",
  DOI =          "http://dx.doi.org/10.1007/978-0-387-75961-6",
  ISBN =         "0-387-75960-3 (paperback), 0-387-75961-1 (e-book)",
  ISBN-13 =      "978-0-387-75960-9 (paperback), 978-0-387-75961-6
                 (e-book)",
  LCCN =         "QA403.3 .N37 2008",
  bibdate =      "Thu Jul 10 09:19:41 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  abstract =     "Wavelet methods have recently undergone a rapid period
                 of development with important implications for a number
                 of disciplines including statistics. This book has
                 three main objectives: (i) providing an introduction to
                 wavelets and their uses in statistics; (ii) acting as a
                 quick and broad reference to many developments in the
                 area; (iii) interspersing R code that enables the
                 reader to learn the methods, to carry out their own
                 analyses, and further develop their own ideas. The book
                 code is designed to work with the freeware R package
                 WaveThresh4, but the book can be read independently of
                 R.\par

                 The book is aimed both at Masters/Ph.D. students in a
                 numerate discipline (such as statistics, mathematics,
                 economics, engineering, computer science, and physics)
                 and postdoctoral researchers/users interested in
                 statistical wavelet methods.",
  acknowledgement = ack-nhfb,
  subject =      "Wavelets (Mathematics); Mathematical statistics; R
                 (Computer program language); Wavelets (Mathematics);
                 Mathematical statistics.; R (Computer program
                 language); Mathematical statistics.; R (Computer
                 program language); Wavelets (Mathematics)",
  tableofcontents = "Introduction \\
                 Wavelets \\
                 Wavelet shrinkage \\
                 Related wavelet smoothing techniques \\
                 Multiscale time series analysis \\
                 Multiscale variance stabilization \\
                 A. R software for wavelets and statistics \\
                 B. Notation and some mathematical concepts \\
                 C. Survival function code",
}

@Article{Nordhausen:2008:SBR,
  author =       "Klaus Nordhausen",
  title =        "Short Book Review: {{\booktitle{Lattice: Multivariate
                 Data Visualization with R}} by Deepayan Sarkar}",
  journal =      j-INT-STAT-REV,
  volume =       "76",
  number =       "3",
  pages =        "440--440",
  month =        dec,
  year =         "2008",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2008.00062_5.x;
                 http://dx.doi.org/10.2307/27919660",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:22 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919648;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919660",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "3 Dec 2008",
}

@Article{OBrien:2008:SBRa,
  author =       "C. M. O'Brien",
  title =        "Short Book Review: {{\booktitle{Adaptive Design Theory
                 and Implementation Using SAS and R}} by Mark Chang}",
  journal =      j-INT-STAT-REV,
  volume =       "76",
  number =       "2",
  pages =        "300--300",
  month =        aug,
  year =         "2008",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2008.00054_1.x;
                 http://dx.doi.org/10.2307/27919619",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:22 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919607;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919619",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "28 Jul 2008",
}

@Article{Peng:2008:CDS,
  author =       "Roger Peng",
  title =        "Caching and Distributing Statistical Analyses in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "7",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v26/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-10-26; Accepted 2008-07-10",
}

@Book{Peng:2008:SME,
  author =       "Roger D. Peng and Francesca Dominici",
  title =        "Statistical methods for environmental epidemiology
                 with {R}: a case study in air pollution and health",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "ix + 144",
  year =         "2008",
  DOI =          "http://dx.doi.org/10.1007/978-0-387-78167-9",
  ISBN =         "0-387-78166-8 (paperback), 0-387-78167-6 (e-book)",
  ISBN-13 =      "978-0-387-78166-2 (paperback), 978-0-387-78167-9
                 (e-book)",
  LCCN =         "TD883.1 .P46 2008",
  bibdate =      "Thu Jul 10 08:52:58 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  abstract =     "Advances in statistical methodology and computing have
                 played an important role in allowing researchers to
                 more accurately assess the health effects of ambient
                 air pollution. The methods and software developed in
                 this area are applicable to a wide array of problems in
                 environmental epidemiology. This book provides an
                 overview of the methods used for investigating the
                 health effects of air pollution and gives examples and
                 case studies in R which demonstrate the application of
                 those methods to real data. The book will be useful to
                 statisticians, epidemiologists, and graduate students
                 working in the area of air pollution and health and
                 others analyzing similar data.\par

                 The authors describe the different existing approaches
                 to statistical modeling and cover basic aspects of
                 analyzing and understanding air pollution and health
                 data. The case studies in each chapter demonstrate how
                 to use R to apply and interpret different statistical
                 models and to explore the effects of potential
                 confounding factors. A working knowledge of R and
                 regression modeling is assumed. In-depth knowledge of R
                 programming is not required to understand and run the
                 examples.",
  acknowledgement = ack-nhfb,
  subject =      "Air Pollution; statistics and numerical data;
                 Environmental Health; Models, Statistical; Software;
                 Statistics as Topic; Air; Pollution; Mathematical
                 models; R (Computer program language); Epidemiologie.;
                 Statistische Analyse.; Mathematical models.;
                 Environmental health.; R (Computer program language)",
  tableofcontents = "Overview of the data \\
                 Overview of statistical modeling \\
                 Statistical issues related to air pollution and health
                 \\
                 Summarizing evidence of the health effects of air
                 pollution \\
                 Case studies",
}

@Book{Pfaff:2008:AIC,
  author =       "Bernhard Pfaff",
  title =        "Analysis of integrated and cointegrated time series
                 with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Second",
  pages =        "xx + 188",
  year =         "2008",
  ISBN =         "0-387-75966-2 (paperback)",
  ISBN-13 =      "978-0-387-75966-1 (paperback)",
  LCCN =         "QA280 .P45 2008",
  bibdate =      "Thu Jul 10 08:36:02 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  URL =          "http://www.loc.gov/catdir/toc/fy0906/2008930126.html",
  acknowledgement = ack-nhfb,
  subject =      "Time-series analysis; Computer programs; R (Computer
                 program language)",
}

@Article{Pfaff:2008:VSS,
  author =       "Bernhard Pfaff",
  title =        "{VAR}, {SVAR} and {SVEC} Models: Implementation Within
                 {R} Package {\tt vars}",
  journal =      j-J-STAT-SOFT,
  volume =       "27",
  number =       "4",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v27/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-05-07; Accepted 2008-02-19",
}

@Article{Pineda-Krch:2008:GIG,
  author =       "Mario Pineda-Krch",
  title =        "{{\tt GillespieSSA}}: Implementing the {Gillespie}
                 Stochastic Simulation Algorithm in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "12",
  pages =        "1--18",
  month =        apr,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i12",
  abstract =     "The deterministic dynamics of populations in
                 continuous time are traditionally described using
                 coupled, first-order ordinary differential equations.
                 While this approach is accurate for large systems, it
                 is often inadequate for small systems where key species
                 may be present in small numbers or where key reactions
                 occur at a low rate. The Gillespie stochastic
                 simulation algorithm (SSA) is a procedure for
                 generating time-evolution trajectories of finite
                 populations in continuous time and has become the
                 standard algorithm for these types of stochastic
                 models. This article presents a simple-to-use and
                 flexible framework for implementing the SSA using the
                 high-level statistical computing language R and the
                 package {\tt GillespieSSA}. Using three ecological
                 models as examples (logistic growth,
                 Rosenzweig-MacArthur predator-prey model, and
                 Kermack-McKendrick SIRS metapopulation model), this
                 paper shows how a deterministic model can be formulated
                 as a finite-population stochastic model within the
                 framework of SSA theory and how it can be implemented
                 in R. Simulations of the stochastic models are
                 performed using four different SSA Monte Carlo methods:
                 one exact method (Gillespie's direct method); and three
                 approximate methods (explicit, binomial, and optimized
                 tau-leap methods). Comparison of simulation results
                 confirms that while the time-evolution trajectories
                 obtained from the different SSA methods are
                 indistinguishable, the approximate methods are up to
                 four orders of magnitude faster than the exact
                 methods.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-10-19; Accepted 2008-02-01",
}

@Book{Reimann:2008:SDA,
  editor =       "Clemens Reimann and Peter Filzmoser and Robert Garrett
                 and Rudolf Dutter",
  title =        "Statistical data analysis explained: applied
                 environmental statistics with {R}",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "xviii + 343 + 8",
  year =         "2008",
  ISBN =         "0-470-98581-X (hardcover), 0-470-98759-6 (e-book)",
  ISBN-13 =      "978-0-470-98581-6 (hardcover), 978-0-470-98759-9
                 (e-book)",
  LCCN =         "GE45.S73 S8324 2008",
  bibdate =      "Wed Sep 15 09:41:33 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470987596.html",
  acknowledgement = ack-nhfb,
  subject =      "environmental sciences; statistical methods; data
                 processing; R (computer programming language)",
}

@Book{Ritz:2008:NRR,
  author =       "Christian Ritz and Jens C. Streibig",
  title =        "Nonlinear regression with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xi + 144",
  year =         "2008",
  ISBN =         "0-387-09615-9 (paperback), 0-387-09616-7 (e-book)",
  ISBN-13 =      "978-0-387-09615-5 (paperback), 978-0-387-09616-2
                 (e-book)",
  LCCN =         "QA278.2 .R577 2008",
  bibdate =      "Thu Jul 10 08:45:30 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  abstract =     "R is a rapidly evolving lingua franca of graphical
                 display and statistical analysis of experiments from
                 the applied sciences. Currently, R offers a wide range
                 of functionality for nonlinear regression analysis, but
                 the relevant functions, packages and documentation are
                 scattered across the R environment. This book provides
                 a coherent and unified treatment of nonlinear
                 regression with R by means of examples from a diversity
                 of applied sciences such as biology, chemistry,
                 engineering, medicine and toxicology. R.",
  acknowledgement = ack-nhfb,
  subject =      "Regression analysis; Data processing; Nonlinear
                 theories; R (Computer program language); Nonlinear
                 theories; Data processing",
  tableofcontents = "Introduction \\
                 Getting started \\
                 Starting values and self starters \\
                 More nls() \\
                 Model diagnostics \\
                 Remedies for model variations \\
                 Uncertainty, hypothesis testing and model selection \\
                 Grouped data \\
                 Appendix A: Datasets and models \\
                 Appendix B: Self starter functions \\
                 Appendix C: Packages and functions \\
                 References \\
                 Index",
}

@Book{Rizzo:2008:SCR,
  author =       "Maria L. Rizzo",
  title =        "Statistical computing with {R}",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  pages =        "xvi + 399",
  year =         "2008",
  ISBN =         "1-58488-545-9",
  ISBN-13 =      "978-1-58488-545-0",
  LCCN =         "QA276.45.R3 R59 2008",
  bibdate =      "Sat Jun 13 10:38:32 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Chapman and Hall/CRC computer science and data
                 analysis series",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0740/2007034218-d.html",
  acknowledgement = ack-nhfb,
  subject =      "Mathematical statistics; Data processing; Statistics;
                 R (Computer program language)",
}

@Article{Robinson:2008:RB,
  author =       "Timothy J. Robinson",
  title =        "The {R} Book",
  journal =      j-AMER-STAT,
  volume =       "62",
  number =       "3",
  pages =        "272--273",
  month =        aug,
  year =         "2008",
  CODEN =        "ASTAAJ",
  DOI =          "http://pubs.amstat.org/doi/pdfplus/10.1198/tas.2008.s263",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Thu Aug 26 21:48:27 MDT 2010",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
  journal-URL =  "http://www.tandfonline.com/loi/utas20",
}

@Article{Rosenfeld:2008:ABG,
  author =       "Simon Rosenfeld",
  title =        "Approximate bivariate gamma generator with
                 prespecified correlation and different marginal
                 shapes",
  journal =      j-TOMACS,
  volume =       "18",
  number =       "4",
  pages =        "16:1--16:??",
  month =        sep,
  year =         "2008",
  CODEN =        "ATMCEZ",
  DOI =          "http://doi.acm.org/10.1145/1391978.1391982",
  ISSN =         "1049-3301 (print), 1558-1195 (electronic)",
  ISSN-L =       "1049-3301",
  bibdate =      "Mon Sep 29 16:00:42 MDT 2008",
  bibsource =    "http://www.acm.org/pubs/contents/journals/tomacs/;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/tomacs.bib",
  abstract =     "A new algorithm is proposed for generating approximate
                 bivariate gamma random samples with a prespecified
                 correlation coefficient and different marginal shapes.
                 A distinctive feature of this approach is computational
                 simplicity and ease of control. Extensive testing
                 demonstrates high accuracy of the proposed algorithm.
                 An S-PLUS code implementing the algorithm is provided.
                 Regression lines produced by the technique are nearly
                 linear, even when marginal shapes are drastically
                 different. This feature makes the approach especially
                 useful in simulation studies associated with linear
                 regression problems. A real-life example of application
                 to the analysis of heteroscedastic regression models is
                 presented. This analysis is a part of a bigger study
                 aimed at quantification of risk factors in cancer
                 research. Two-dimensional probabilistic patterns
                 produced by the algorithm are compared to those
                 generated by the well-known technique by Schmeiser and
                 Lal [1982].",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "ACM Transactions on Modeling and Computer Simulation",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?&idx=J781",
  keywords =     "bivariate gamma distribution; correlation coefficient;
                 dietary assessment; random sampling",
}

@Book{Sarkar:2008:LMD,
  author =       "Deepayan Sarkar",
  title =        "Lattice: multivariate data visualization with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xvii + 265",
  year =         "2008",
  ISBN =         "0-387-75968-9 (paperback), 0-387-75969-7 (e-book)",
  ISBN-13 =      "978-0-387-75968-5 (paperback), 978-0-387-75969-2
                 (e-book)",
  LCCN =         "QA171.5 .S275 2008",
  bibdate =      "Sat Jun 13 09:37:23 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  URL =          "http://www.loc.gov/catdir/toc/fy0805/2008920682.html",
  acknowledgement = ack-nhfb,
  remark =       "Lattice is a package for R/",
  subject =      "lattice theory; R (Computer programming language);
                 computer graphics; Trellis graphics",
}

@Article{Smith:2008:UGM,
  author =       "Brian J. Smith and Jun Yan and Mary Kathryn Cowles",
  title =        "Unified Geostatistical Modeling for Data Fusion and
                 Spatial Heteroskedasticity with {R} Package {\tt
                 ramps}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "10",
  pages =        "1--21",
  month =        apr,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i10",
  abstract =     "This article illustrates usage of the {\tt ramps} R
                 package, which implements the reparameterized and
                 marginalized posterior sampling (RAMPS) algorithm for
                 complex Bayesian geostatistical models. The RAMPS
                 methodology allows joint modeling of areal and
                 point-source data arising from the same underlying
                 spatial process. A reparametrization of variance
                 parameters facilitates slice sampling based on
                 simplexes, which can be useful in general when multiple
                 variances are present. Prediction at arbitrary points
                 can be made, which is critical in applications where
                 maps are needed. Our implementation takes advantage of
                 sparse matrix operations in the Matrix package and can
                 provide substantial savings in computing time for large
                 datasets. A user-friendly interface, similar to the
                 {\tt nlme} mixed effects models package, enables users
                 to analyze datasets with little programming effort.
                 Support is provided for numerous spatial and
                 spatiotemporal correlation structures, user-defined
                 correlation structures, and non-spatial random effects.
                 The package features are illustrated via a synthetic
                 dataset of spatially correlated observation distributed
                 across the state of Iowa, USA.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-12-17; Accepted 2008-03-26",
}

@Book{Spector:2008:DMR,
  author =       "Phil Spector",
  title =        "Data Manipulation With {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "ix + 152",
  year =         "2008",
  ISBN =         "0-387-74730-3",
  ISBN-13 =      "978-0-387-74730-9",
  LCCN =         "QA276.45.R3.S64; QA276.45.R3.S64 2008",
  bibdate =      "Sat Jun 13 09:48:10 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 library.mit.edu:9909/mit01",
  series =       "Use R!",
  acknowledgement = ack-nhfb,
  remark =       "1. Data in R \\
                 2. Reading and Writing Data \\
                 3. R and Databases \\
                 4. Dates \\
                 5. Factors \\
                 6. Subscripting \\
                 7. Character Manipulation \\
                 8. Data Aggregation \\
                 9. Reshaping Data",
  subject =      "Mathematical statistics; Data processing; Statistics;
                 R (Computer programming language)",
}

@Book{Ugarte:2008:PSR,
  author =       "Mar{\'\i}a Dolores Ugarte and Ana F. Militino and Alan
                 T. Arnholt",
  title =        "Probability and statistics with {R}",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "xxvi + 700",
  year =         "2008",
  ISBN =         "1-58488-891-1",
  ISBN-13 =      "978-1-58488-891-8",
  LCCN =         "QA273.19.E4 U53 2008",
  bibdate =      "Sat Jun 13 10:38:52 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.crcpress.com/product/isbn/9781584888918",
  acknowledgement = ack-nhfb,
  remark =       "A Chapman and Hall book.",
  subject =      "probabilities; data processing; statistics; R
                 (computer programming language)",
  tableofcontents = "A Brief Introduction to S \\
                 The Basics of S \\
                 Using S \\
                 Data Sets \\
                 Data Manipulation \\
                 Probability Functions \\
                 Creating Functions \\
                 Programming Statements \\
                 Graphs \\
                 Exploring Data \\
                 What Is Statistics? \\
                 Data \\
                 Displaying Qualitative Data \\
                 Displaying Quantitative Data \\
                 Summary Measures of Location \\
                 Summary Measures of Spread \\
                 Bivariate Data \\
                 Multivariate Data (Lattice and Trellis Graphs) \\
                 General Probability and Random Variables \\
                 Introduction \\
                 Counting Rules \\
                 Probability \\
                 Random Variables \\
                 Univariate Probability Distributions \\
                 Introduction \\
                 Discrete Univariate Distributions \\
                 Continuous Univariate Distributions \\
                 Multivariate Probability Distributions \\
                 Joint Distribution of Two Random Variables \\
                 Independent Random Variables \\
                 Several Random Variables \\
                 Conditional Distributions \\
                 Expected Values, Covariance, and Correlation \\
                 Multinomial Distribution \\
                 Bivariate Normal Distribution \\
                 Sampling and Sampling Distributions \\
                 Sampling \\
                 Parameters \\
                 Estimators \\
                 Sampling Distribution of the Sample Mean \\
                 Sampling Distribution for a Statistic from an Infinite
                 Population \\
                 Sampling Distributions Associated with the Normal
                 Distribution \\
                 Point Estimation \\
                 Introduction \\
                 Properties of Point Estimators \\
                 Point Estimation Techniques \\
                 Confidence Intervals \\
                 Introduction \\
                 Confidence Intervals for Population Means \\
                 Confidence Intervals for Population Variances \\
                 Confidence Intervals Based on Large Samples \\
                 Hypothesis Testing \\
                 Introduction \\
                 Type I and Type II Errors \\
                 Power Function \\
                 Uniformly Most Powerful Test \\
                 -Value or Critical Level \\
                 Tests of Significance \\
                 Hypothesis Tests for Population Means \\
                 Hypothesis Tests for Population Variances \\
                 Hypothesis Tests for Population Proportions \\
                 Nonparametric Methods \\
                 Introduction \\
                 Sign Test \\
                 Wilcoxon Signed-Rank Test \\
                 The Wilcoxon Rank-Sum or the Mann Whitney U-Test \\
                 The Kruskal Wallis Test \\
                 Friedman Test for Randomized Block Designs \\
                 Goodness-of-Fit Tests \\
                 Categorical Data Analysis \\
                 Nonparametric Bootstrapping \\
                 Permutation Tests \\
                 Experimental Design \\
                 Introduction \\
                 Fixed-Effects Model \\
                 Analysis of Variance (ANOVA) for the One-Way
                 Fixed-Effects Model \\
                 Power and the Noncentral F Distribution \\
                 Checking Assumptions \\
                 Fixing Problems \\
                 Multiple Comparisons of Means \\
                 Other Comparisons among the Means \\
                 Summary of Comparisons of Means \\
                 Random-Effects Model (Variance Components Model) \\
                 Randomized Complete Block Design \\
                 Two-Factor Factorial Design \\
                 Regression \\
                 Introduction \\
                 Simple Linear Regression \\
                 Multiple Linear Regression \\
                 Ordinary Least Squares \\
                 Properties of the Fitted Regression Line \\
                 Using Matrix Notation with Ordinary Least Squares \\
                 The Method of Maximum Likelihood \\
                 The Sampling Distribution of \\
                 ANOVA Approach to Regression \\
                 General Linear Hypothesis \\
                 Model Selection and Validation \\
                 Interpreting a Logarithmically Transformed Model \\
                 Qualitative Predictors \\
                 Estimation of the Mean Response for New Values Xh \\
                 Prediction and Sampling Distribution of New
                 Observations Yh(new) \\
                 Simultaneous Confidence Intervals \\
                 Appendix A: S Commands \\
                 Appendix B: Quadratic Forms and Random Vectors and
                 Matrices \\
                 Quadratic Forms \\
                 Random Vectors and Matrices \\
                 Variance of Random Vectors \\
                 References \\
                 Index",
}

@Book{Vinod:2008:HIE,
  author =       "Hrishikesh D. Vinod",
  title =        "Hands-on intermediate econometrics using {R}:
                 templates for extending dozens of practical examples",
  publisher =    pub-WORLD-SCI,
  address =      pub-WORLD-SCI:adr,
  pages =        "xxvii + 512",
  year =         "2008",
  ISBN =         "981-281-885-5, 981-4350-41-9",
  ISBN-13 =      "978-981-281-885-0, 978-981-4350-41-9",
  LCCN =         "HB141 .V56 2008",
  bibdate =      "Thu Jul 10 09:55:20 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  abstract =     "This book explains how to use R software to teach
                 econometrics by providing interesting examples, using
                 actual data applied to important policy issues. It
                 helps readers choose the best method from a wide array
                 of tools and packages available. The data used in the
                 examples along with R program snippets, illustrate the
                 economic theory and sophisticated statistical methods
                 extending the usual regression. The R program snippets
                 are not merely given as black boxes, but include
                 detailed comments which help the reader better
                 understand the software steps and use them as templates
                 for possible extension and modification.",
  acknowledgement = ack-nhfb,
  author-dates = "1939--",
  subject =      "Econometrics; Computer programs; R (Computer program
                 language); {\"O}konometrie.; R (Programm);
                 {\"O}konometrie.; {\"O}konometrie; R (Programm);
                 {\"O}konometrie.; Computer programs.; R (Computer
                 program language)",
  tableofcontents = "Production Function and Regression Methods Using R
                 \\
                 Univariate Time Series Analysis with R \\
                 Bivariate Time Series Analysis Including Stochastic
                 Diffusion and Cointegration \\
                 Utility Theory and Empirical Implications \\
                 Vector Models for Multivariate Problems \\
                 Simultaneous Equation Models \\
                 Limited Dependent Variable (GLM) Models \\
                 Dynamic Optimization and Empirical Analysis of Consumer
                 Behavior \\
                 Single, Double and Maximum Entropy Bootstrap and
                 Inference \\
                 Generalized Least Squares, VARMA, and Estimating
                 Functions \\
                 Box--Cox, Loess and Projection Pursuit Regression \\
                 Appendix",
}

@Article{Wallstrom:2008:IBA,
  author =       "Garrick Wallstrom and Jeffrey Liebner and Robert E.
                 Kass",
  title =        "An Implementation of {Bayesian} Adaptive Regression
                 Splines ({BARS}) in {C} with {S} and {R} Wrappers",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "1",
  pages =        "1--21",
  month =        jun,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v26/i01",
  abstract =     ">BARS (DiMatteo, Genovese, and Kass 2001) uses the
                 powerful reversible-jump MCMC engine to perform
                 spline-based generalized nonparametric regression. It
                 has been shown to work well in terms of having small
                 mean-squared error in many examples (smaller than known
                 competitors), as well as producing visually-appealing
                 fits that are smooth (filtering out high-frequency
                 noise) while adapting to sudden changes (retaining
                 high-frequency signal). However, BARS is
                 computationally intensive. The original implementation
                 in {\tt S} was too slow to be practical in certain
                 situations, and was found to handle some data sets
                 incorrectly. We have implemented BARS in {\tt C} for
                 the normal and Poisson cases, the latter being
                 important in neurophysiological and other point-process
                 applications. The {\tt C} implementation includes all
                 needed subroutines for fitting Poisson regression,
                 manipulating B-splines (using code created by Bates and
                 Venables), and finding starting values for Poisson
                 regression (using code for density estimation created
                 by Kooperberg). The code utilizes only freely-available
                 external libraries ({\bf LAPACK} and {\bf BLAS}) and is
                 otherwise self-contained. We have also provided
                 wrappers so that BARS can be used easily within {\tt S}
                 or {\tt R}.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2004-06-25; Accepted 2007-02-20",
}

@Article{Wickham:2008:BRBa,
  author =       "Hadley Wickham",
  title =        "Book Review: {{\booktitle{Data Manipulation with
                 R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "BR-1",
  pages =        "1--2",
  month =        jun,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v26/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-06-16; Accepted 2008-06-16",
}

@Article{Wickham:2008:BRBb,
  author =       "Hadley Wickham",
  title =        "Book Review: {{\booktitle{A First Course in
                 Statistical Programming with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "BR-3",
  pages =        "??--??",
  month =        dec,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v28/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-09; Accepted 2008-12-09",
}

@Article{Zeileis:2008:RMC,
  author =       "Achim Zeileis and Christian Kleiber and Simon
                 Jackman",
  title =        "Regression Models for Count Data in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "27",
  number =       "8",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v27/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-05-04; Accepted 2008-06-06",
}

@Book{Aitkin:2009:SMR,
  author =       "Murray A. Aitkin and Brian Francis and John Hinde and
                 Ross Darnell",
  title =        "Statistical modelling in {R}",
  volume =       "35",
  publisher =    pub-OXFORD,
  address =      pub-OXFORD:adr,
  pages =        "xii + 576",
  year =         "2009",
  ISBN =         "0-19-921913-3 (paperback), 0-19-921914-1 (hardcover)",
  ISBN-13 =      "978-0-19-921913-1 (paperback), 978-0-19-921914-8
                 (hardcover)",
  LCCN =         "QA276.45.R3 S73 2009",
  bibdate =      "Thu Apr 24 08:32:18 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Oxford statistical science series",
  URL =          "http://www.loc.gov/catdir/toc/ecip0824/2008031898.html",
  acknowledgement = ack-nhfb,
  subject =      "R (Computer program language); Mathematical
                 statistics; Data processing",
  tableofcontents = "Introducing R: Statistical packages and statistical
                 modelling \\
                 Getting started in R \\
                 Reading data into R \\
                 Assignment and data generation \\
                 Displaying data \\
                 Data structures and the workspace \\
                 Transformations and data modification \\
                 Functions and suffixing \\
                 Structure functions \\
                 Mathematical functions \\
                 Logical operators \\
                 Control functions \\
                 Statistical functions \\
                 Random numbers \\
                 Suffixes in expressions \\
                 Extracting subsets of data \\
                 Recoding variates and factors into new factors \\
                 Graphical facilities \\
                 Text functions \\
                 Writing your own functions \\
                 Sorting and tabulation \\
                 Editing R code \\
                 Installing and using packages \\
                 Statistical Modelling and Inference: Statistical models
                 \\
                 Types of variables \\
                 Population models \\
                 Random sampling \\
                 The likelihood function \\
                 Inference for single parameter models \\
                 Comparing two simple hypotheses \\
                 Information about a single parameter \\
                 Comparing a simple null hypothesis and a composite
                 alternative \\
                 Inference with nuisance parameters \\
                 Profile likelihoods \\
                 Marginal likelihood for the variance \\
                 Likelihood normalizing transformations \\
                 Alternative test procedures \\
                 Bayes inference \\
                 Binomial model \\
                 Hypergeometric sampling from finite populations \\
                 The effect of the sample design on inference \\
                 The exponential family \\
                 Mean and variance \\
                 Generalized linear models \\
                 Maximum likelihood fitting of the GLM \\
                 Model comparisons through maximized likelihoods \\
                 Likelihood inference without models \\
                 Likelihoods for percentiles \\
                 Empirical likelihood \\
                 Regression and Analysis of Variance: An example \\
                 Strategies for model simplification \\
                 Stratified, weighted and clustered samples \\
                 Model criticism \\
                 Mis-specification of the probability distribution \\
                 Mis-specification of the link function \\
                 The occurrence of aberrant and influential observations
                 \\
                 Mis-specification of the systematic part of the model
                 \\
                 The Box-Cox transformation family \\
                 Modelling and background information \\
                 Link functions and transformations \\
                 Regression models for prediction \\
                 Model choice and mean square prediction error \\
                 Model selection through cross-validation \\
                 Reduction of complex regression models \\
                 Sensitivity of the Box-Cox transformation \\
                 The use of regression models for calibration \\
                 Measurement error in the explanatory variables \\
                 Factorial designs \\
                 Unbalanced cross-classifications \\
                 The Bennett hostility data \\
                 ANOVA of the cross-classification \\
                 Regression analysis of the cross-classification \\
                 Statistical package treatments of cross-classifications
                 \\
                 Missing data \\
                 Approximate methods for missing data \\
                 Modelling of variance heterogeneity \\
                 Poison example \\
                 Tree example \\
                 Binary Response Data: Binary responses \\
                 Transformations and link functions \\
                 Profile likelihoods for functions of parameters \\
                 Model criticism \\
                 Mis-specification of the probability distribution \\
                 Mis-specification of the link function \\
                 The occurrence of aberrant and influential observations
                 \\
                 Binary data with continuous covariates \\
                 Contingency table construction from binary data \\
                 The prediction of binary outcomes \\
                 Profile and conditional likelihoods in 2 x 2 tables \\
                 Three-dimensional contingency tables with a binary
                 response \\
                 Prenatal care and infant mortality \\
                 Coronary heart disease \\
                 Multidimensional contingency tables with a binary
                 response \\
                 Multinomial and Poisson Response Data: The Poisson
                 distribution \\
                 Cross-classified counts \\
                 Multicategory responses \\
                 Multinomial logit model \\
                 The Poisson-multinomial relation \\
                 Fitting the multinomial logit model \\
                 Ordered response categories \\
                 Common slopes for the regressions \\
                 Linear trend over response categories \\
                 Proportional slopes \\
                 The continuation ratio model \\
                 Other models \\
                 An Example \\
                 Multinomial logit model \\
                 Continuation ratio model \\
                 Structured multinomial responses \\
                 Independent outcomes \\
                 Correlated outcomes \\
                 Survival Data: Introduction \\
                 The exponential distribution \\
                 Fitting the exponential distribution \\
                 Model criticism \\
                 Comparison with the normal family \\
                 Censoring \\
                 Likelihood function for censored observations \\
                 Probability plotting with censored data: the
                 Kaplan-Meier estimator \\
                 The gamma distribution \\
                 Maximum likelihood with uncensored data \\
                 Maximum likelihood with censored data \\
                 Double modelling \\
                 The Weibull distribution \\
                 Maximum likelihood fitting of the Weibull distribution
                 \\
                 The extreme value distribution \\
                 The reversed extreme value distribution \\
                 Survivor function plotting for the Weibull and extreme
                 value distributions \\
                 The Cox proportional hazards model and the piecewise
                 exponential distribution \\
                 Maximum likelihood fitting of the piecewise exponential
                 distribution \\
                 Examples \\
                 The logistic and log-logistic distributions \\
                 The normal and lognormal distributions \\
                 Evaluating the proportional hazard assumption \\
                 Competing risks \\
                 Time-dependent explanatory variables \\
                 Discrete time models \\
                 Finite Mixture Models: Introduction \\
                 Example \\
                 girl birthweights \\
                 Finite mixtures of distributions \\
                 Maximum likelihood in finite mixtures \\
                 Standard errors \\
                 Testing for the number of components \\
                 Example \\
                 Likelihood 'spikes' \\
                 Galaxy data \\
                 Kernel density estimates \\
                 Random Effect Models: Overdispersion \\
                 Testing for overdispersion \\
                 Conjugate random effects \\
                 Normal kernel: the t-distribution \\
                 Poisson kernel: the negative binomial distribution \\
                 Binomial kernel: beta-binomial distribution \\
                 Gamma kernel \\
                 Difficulties with the conjugate approach \\
                 Normal random effects \\
                 Predicting from the normal random effect model \\
                 Gaussian quadrature examples \\
                 Overdispersion model fitting \\
                 Poisson \\
                 the fabric fault data \\
                 Binomial \\
                 the toxoplasmosis data \\
                 Other specified random effect distributions \\
                 Arbitrary random effects \\
                 Examples \\
                 The fabric fault data \\
                 The toxoplasmosis data \\
                 Leukaemia remission data \\
                 The Brownlee stack-loss data \\
                 Random coefficient regression models \\
                 Example \\
                 the fabric fault data \\
                 Algorithms for mixture fitting \\
                 The trypanosome data \\
                 Modelling the mixing probabilities \\
                 Mixtures of mixtures \\
                 Variance Component Models: Models with shared random
                 effects \\
                 The normal/normal model \\
                 Exponential family two-level models \\
                 Other approaches \\
                 NPML estimation of the masses and mass-points \\
                 Random coefficient models \\
                 Variance component model fitting \\
                 Children's height development \\
                 Multi-centre trial of beta-blockers \\
                 Longitudinal study of obesity \\
                 Autoregressive random effect models \\
                 Latent variable models \\
                 The normal factor model \\
                 IRT models \\
                 The Rasch model \\
                 The two-parameter model \\
                 The three-parameter logit (3PL) model \\
                 Example \\
                 The Law School Aptitude Test (LSAT) \\
                 Spatial dependence \\
                 Multivariate correlated responses \\
                 Discreteness of the NPML estimate",
}

@Book{Albert:2009:BCR,
  author =       "Jim Albert",
  title =        "{Bayesian} computation with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Second",
  pages =        "300 (est.)",
  year =         "2009",
  ISBN =         "0-387-92297-0",
  ISBN-13 =      "978-0-387-92297-3",
  LCCN =         "????",
  bibdate =      "Sat Jun 13 09:47:24 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.bibsys.no:2100/BIBSYS",
  series =       "Use R",
  acknowledgement = ack-nhfb,
  author-dates = "1953--",
}

@Article{Anonymous:2009:BRBf,
  author =       "Anonymous",
  title =        "Book Review: {{\booktitle{Introductory Statistics With
                 R}} (2nd ed.) by Peter Dalgaard}",
  journal =      j-TECHNOMETRICS,
  volume =       "51",
  number =       "2",
  pages =        "225--225",
  month =        may,
  year =         "2009",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/40586615",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:29 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40025248;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/40586615",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Ardia:2009:AMS,
  author =       "David Ardia and Lennart F. Hoogerheide and Herman K.
                 van Dijk",
  title =        "Adaptive Mixture of {Student-$t$} Distributions as a
                 Flexible Candidate Distribution for Efficient
                 Simulation: The {R} Package {{\tt AdMit}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "3",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-06-30; Accepted 2008-12-01",
}

@Book{Basso:2009:PTS,
  author =       "Dario Basso and Fortunato Pesarin and Luigi Salmaso
                 and Aldo Solari",
  title =        "Permutation tests for stochastic ordering and {ANOVA}:
                 theory and applications with {R}",
  volume =       "194",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xiii + 217",
  year =         "2009",
  ISBN =         "0-387-85955-1 (paperback), 0-387-85956-X (e-book)",
  ISBN-13 =      "978-0-387-85955-2 (paperback), 978-0-387-85956-9
                 (e-book)",
  LCCN =         "QA165 .P437 2009",
  bibdate =      "Thu Jul 10 09:48:10 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Lecture notes in statistics",
  abstract =     "Permutation testing for multivariate stochastic
                 ordering and ANOVA designs is a fundamental issue in
                 many scientific fields such as medicine, biology,
                 pharmaceutical studies, engineering, economics,
                 psychology, and social sciences. This book presents new
                 advanced methods and related R codes to perform complex
                 multivariate analyses. The prerequisites are a standard
                 course in statistics and some background in
                 multivariate analysis and R software. Dario Basso is a
                 Post Doctoral Fellow at the Department of Management
                 and Engineering of University of Padova His main
                 research interests include permutation tests and design
                 of experiments. Fortunato Pesarin is Full Professor of
                 Statistics at the Department of Statistics of the
                 University of Padova. His main research interests
                 include nonparametric methods, bootstrap methods, and
                 permutation tests. He has?published a leading book on
                 multivariate permutation tests based on nonparametric
                 combination methodology. Luigi Salmaso is Associate
                 Professor of Statistics at the Department of Management
                 and Engineering of the University of Padova. His main
                 research interests include permutation methods,
                 multiple tests, and design of experiments. He has
                 published more than 70 papers on permutation methods
                 and design of experiments in international
                 peer-reviewed journals. Aldo Solari is a Post Doctoral
                 Fellow at the Department of Chemical Process
                 Engineering of the University of Padova. His main
                 research interest is resampling-based multiple testing
                 methods.",
  acknowledgement = ack-nhfb,
  subject =      "Permutations; Stochastic orders; Analysis of variance;
                 R (Computer program language)",
  tableofcontents = "Permutation tests \\
                 Ordinal data \\
                 Multivariate ordinal data \\
                 Multivariate continuous data \\
                 Non-parametric one-way ANOVA \\
                 Synchronized permutation tests in two-way ANOVA \\
                 Permutation tests for unreplicated factorial designs",
}

@Article{Benaglia:2009:MRP,
  author =       "Tatiana Benaglia and Didier Chauveau and David R.
                 Hunter and Derek S. Young",
  title =        "{\tt mixtools}: An {R} Package for Analyzing Mixture
                 Models",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "6",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-28; Accepted 2009-08-18",
}

@Article{Bornkamp:2009:MRP,
  author =       "Bj{\"o}rn Bornkamp and Jos{\'e} Pinheiro and Frank
                 Bretz",
  title =        "{{\tt MCPMod}}: An {R} Package for the Design and
                 Analysis of Dose-Finding Studies",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "7",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-05-15; Accepted 2009-01-22",
}

@Article{Bowman:2009:BRB,
  author =       "Adrian Bowman",
  title =        "Book Review: {{\booktitle{Morphometrics with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "BR-1",
  pages =        "??--??",
  month =        sep,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-19; Accepted 2009-09-19",
}

@Article{Burr:2009:BRBa,
  author =       "Thomas L. Burr",
  title =        "Book Review: {{\booktitle{Simulation and Inference for
                 Stochastic Differential Equations With R Examples}} by
                 Stefano Iacus}",
  journal =      j-TECHNOMETRICS,
  volume =       "51",
  number =       "3",
  pages =        "340--341",
  month =        aug,
  year =         "2009",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/40586630",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:30 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40025249;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/40586630",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Christ:2009:BRB,
  author =       "Aaron Christ",
  title =        "Book Review: {{\booktitle{Mixed Effects Models and
                 Extensions in Ecology with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "BR-1",
  pages =        "??--??",
  month =        nov,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-11-08; Accepted 2009-11-08",
}

@Book{Clarke:2009:PTD,
  author =       "Bertrand Salem Clarke and Ernest Fokou{\'e} and Hao
                 Helen Zhang",
  title =        "Principles and Theory for Data Mining and Machine
                 Learning",
  volume =       "??",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xv + 781",
  year =         "2009",
  CODEN =        "????",
  DOI =          "http://dx.doi.org/10.1007/978-0-387-98135-2",
  ISBN =         "0-387-98134-9, 0-387-98135-7 (e-book)",
  ISBN-13 =      "978-0-387-98134-5, 978-0-387-98135-2 (e-book)",
  ISSN =         "0172-7397",
  ISSN-L =       "0172-7397",
  LCCN =         "QA76.9.D343 C53 2009",
  bibdate =      "Thu Jun 19 06:41:21 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/probstat2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Springer Series in Statistics",
  URL =          "http://link.springer.com/book/10.1007/978-0-387-98135-2",
  abstract =     "This book is a thorough introduction to the most
                 important topics in data mining and machine learning.
                 It begins with a detailed review of classical function
                 estimation and proceeds with chapters on nonlinear
                 regression, classification, and ensemble methods. The
                 final chapters focus on clustering, dimension
                 reduction, variable selection, and multiple
                 comparisons. All these topics have undergone
                 extraordinarily rapid development in recent years and
                 this treatment offers a modern perspective emphasizing
                 the most recent contributions. The presentation of
                 foundational results is detailed and includes many
                 accessible proofs not readily available outside
                 original sources. While the orientation is conceptual
                 and theoretical, the main points are regularly
                 reinforced by computational comparisons. Intended
                 primarily as a graduate level textbook for statistics,
                 computer science, and electrical engineering students,
                 this book assumes only a strong foundation in
                 undergraduate statistics and mathematics, and facility
                 with using R packages. The text has a wide variety of
                 problems, many of an exploratory nature. There are
                 numerous computed examples, complete with code, so that
                 further computations can be carried out readily. The
                 book also serves as a handbook for researchers who want
                 a conceptual overview of the central topics in data
                 mining and machine learning. Bertrand Clarke is a
                 Professor of Statistics in the Department of Medicine,
                 Department of Epidemiology and Public Health, and the
                 Center for Computational Sciences at the University of
                 Miami. He has been on the Editorial Board of the
                 Journal of the American Statistical Association, the
                 Journal of Statistical Planning and Inference, and
                 Statistical Papers. He is co-winner, with Andrew
                 Barron, of the 1990 Browder J. Thompson Prize from the
                 Institute of Electrical and Electronic Engineers.
                 Ernest Fokoue is an Assistant Professor of Statistics
                 at Kettering University. He has also taught at Ohio
                 State University and been a long term visitor at the
                 Statistical and Mathematical Sciences Institute where
                 he was a Post-doctoral Research Fellow in the Data
                 Mining and Machine Learning Program. In 2000, he was
                 the winner of the Young Researcher Award from the
                 International Association for Statistical Computing.
                 Hao Helen Zhang is an Associate Professor of Statistics
                 in the Department of Statistics at North Carolina State
                 University. For 2003-2004, she was a Research Fellow at
                 SAMSI and in 2007, she won a Faculty Early Career
                 Development Award from the National Science Foundation.
                 She is on the Editorial Board of the Journal of the
                 American Statistical Association and Biometrics.",
  acknowledgement = ack-nhfb,
  remark =       "Most volumes in this series are unnumbered.",
  series-URL =   "http://link.springer.com/bookseries/692",
  subject =      "Data mining; Machine learning; Artificial
                 Intelligence; Data mining; Machine learning.",
  tableofcontents = "Variability, information, prediction \\
                 Kernel smoothing \\
                 Spline smoothing \\
                 New wave nonparametrics \\
                 Supervised learning: Partition methods \\
                 Alternative nonparametrics \\
                 Computational comparisons \\
                 Unsupervised learning: Clustering \\
                 Learning in high dimensions \\
                 Variable selection \\
                 Multiple testing",
}

@Book{Cowpertwait:2009:ITS,
  author =       "Paul S. P. Cowpertwait and Andrew V. Metcalfe",
  title =        "Introductory time series with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xv + 254",
  year =         "2009",
  ISBN =         "0-387-88697-4",
  ISBN-13 =      "978-0-387-88697-8",
  LCCN =         "QA280 .C69 2009",
  bibdate =      "Tue Sep 6 08:09:31 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  URL =          "http://www.loc.gov/catdir/enhancements/fy1002/2009928496-d.htm;
                 http://www.loc.gov/catdir/enhancements/fy1002/2009928496-t.htm",
  acknowledgement = ack-nhfb,
  subject =      "time-series analysis; R (computer program language)",
}

@Article{Cule:2009:LRP,
  author =       "Madeleine Cule and Robert B. Gramacy and Richard
                 Samworth",
  title =        "{{\tt LogConcDEAD}}: An {R} Package for Maximum
                 Likelihood Estimation of a Multivariate Log-Concave
                 Density",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "2",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-07; Accepted 2008-12-14",
}

@Article{Dahl:2009:RAR,
  author =       "David B. Dahl and Scott Crawford",
  title =        "{{\tt RinRuby}}: Accessing the {R} Interpreter from
                 Pure {Ruby}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "4",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-03; Accepted 2008-11-26",
}

@Article{deLeeuw:2009:BRBa,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{Nonlinear Regression with
                 R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-6",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/b06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-04; Accepted 2009-01-04",
}

@Article{deLeeuw:2009:BRBb,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{Statistical Methods for
                 Environmental Epidemiology with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-7",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/b07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-05; Accepted 2009-01-05",
}

@Article{deLeeuw:2009:BRBc,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{R Programming for
                 Bioinformatics}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-8",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/b08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-10; Accepted 2009-01-10",
}

@Article{deLeeuw:2009:GMO,
  author =       "Jan de Leeuw and Patrick Mair",
  title =        "{Gifi} Methods for Optimal Scaling in {R}: The Package
                 {\tt homals}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "4",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-06; Accepted 2009-07-23",
}

@Article{deLeeuw:2009:IOR,
  author =       "Jan de Leeuw and Kurt Hornik and Patrick Mair",
  title =        "Isotone Optimization in {R}: Pool-Adjacent-Violators
                 Algorithm ({PAVA}) and Active Set Methods",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "5",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-27; Accepted 2009-09-30",
}

@Article{deLeeuw:2009:MSU,
  author =       "Jan de Leeuw and Patrick Mair",
  title =        "Multidimensional Scaling Using Majorization: {SMACOF}
                 in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "3",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-28; Accepted 2009-06-03",
}

@Article{deLeeuw:2009:SCC,
  author =       "Jan de Leeuw and Patrick Mair",
  title =        "Simple and Canonical Correspondence Analysis Using the
                 {R} Package {\tt anacor}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "5",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-25; Accepted 2009-06-18",
}

@Article{Deviere:2009:ALD,
  author =       "Elisabeth D{\'e}vi{\`e}re",
  title =        "Analyzing linguistic data: a practical introduction to
                 statistics using {R}",
  journal =      j-J-APPL-STAT,
  volume =       "36",
  number =       "4",
  pages =        "471--472",
  month =        apr,
  year =         "2009",
  CODEN =        "????",
  ISSN =         "0266-4763 (print), 1360-0532 (electronic)",
  ISSN-L =       "0266-4763",
  bibdate =      "Wed Aug 25 11:41:56 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/japplstat.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.tandf.co.uk/journals/routledge/02664763.html",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Applied Statistics",
  journal-URL =  "http://www.tandfonline.com/loi/cjas20",
}

@Article{Eddelbuettel:2009:BRBa,
  author =       "Dirk Eddelbuettel",
  title =        "Book Review: {{\booktitle{Computational Statistics: An
                 Introduction to R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "BR-2",
  pages =        "??--??",
  month =        dec,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-12-22; Accepted 2009-12-22",
}

@Article{Eddelbuettel:2009:BRBb,
  author =       "Dirk Eddelbuettel",
  title =        "Book Review: {{\booktitle{Analysis of Integrated and
                 Cointegrated Time Series with R (2nd Edition)}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "BR-5",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/b05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-27; Accepted 2009-04-27",
}

@Article{Eddelbuettel:2009:BRBc,
  author =       "Dirk Eddelbuettel",
  title =        "Book Review: {{\booktitle{Applied Econometrics with
                 R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-14",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/b14",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-02-25; Accepted 2009-02-25",
}

@Article{Eugster:2009:SMH,
  author =       "Manuel J. A. Eugster and Friedrich Leisch",
  title =        "From {Spider-Man} to Hero --- Archetypal Analysis in
                 {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "8",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-11; Accepted 2009-04-21",
}

@Book{Foulkes:2009:ASG,
  author =       "Andrea S. Foulkes",
  title =        "Applied statistical genetics with {R}: for
                 population-based association studies",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xxiii + 252",
  year =         "2009",
  DOI =          "http://dx.doi.org/10.1007/978-0-387-89554-3",
  ISBN =         "0-387-89553-1",
  ISBN-13 =      "978-0-387-89553-6",
  LCCN =         "QH438.4.S73 F68 2009",
  bibdate =      "Thu Jul 10 09:30:31 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  URL =          "http://springerlink.com/openurl.asp?genre=book&isbn=978-0-387-89553-6;
                 http://www.loc.gov/catdir/enhancements/fy0913/2009284624-d.html;
                 http://www.loc.gov/catdir/enhancements/fy0913/2009284624-t.html",
  abstract =     "The vast array of molecular level information now
                 available presents exciting opportunities to
                 characterize the genetic underpinnings of complex
                 diseases while discovering novel biological pathways to
                 disease progression. In this introductory graduate
                 level text, Dr. Foulkes elucidates core concepts that
                 undergird the wide range of analytic techniques and
                 software tools for the analysis of data derived from
                 population-based genetic investigations. Applied
                 Statistical Genetics with R offers a clear and cogent
                 presentation of several fundamental statistical
                 approaches that researchers from multiple disciplines,
                 including medicine, public health, epidemiology,
                 statistics and computer science, will find useful in
                 exploring this emerging field. Couched in the language
                 of biostatistics, this text can be easily adopted for
                 public health and medical school curricula. The text
                 covers key genetic data concepts and statistical
                 principles to provide the reader with a strong
                 foundation in methods for candidate gene and
                 genome-wide association studies. These include methods
                 for unobservable haplotypic phase, multiple testing
                 adjustments, and high-dimensional data analysis.
                 Emphasis is on analysis of data arising from studies of
                 unrelated individuals and the potential interplay among
                 genetic factors and more traditional, epidemiological
                 risk factors for disease. While theoretically rigorous,
                 the analytic techniques are presented at a level that
                 will appeal to researchers and students with limited
                 knowledge of statistical genetics. The text assumes the
                 reader has completed a first course in biostatistics,
                 uses publicly available data sets for illustration, and
                 provides extensive examples using the open source,
                 publicly available statistical software environment
                 R.",
  acknowledgement = ack-nhfb,
  subject =      "Genetics; Statistical methods; R (Computer program
                 language); Genetics, Population; methods; Epidemiologic
                 Methods; Automatic Data Processing; Models,
                 Statistical; Statistical methods.; R (Computer program
                 language)",
  tableofcontents = "Genetic Association Studies \\
                 Overview of population-based investigations \\
                 Data components and terminology \\
                 Data examples \\
                 Elementary Statistical Principles \\
                 Background measures and tests of association \\
                 Analytic challenges \\
                 Genetic Data Concepts and Tests \\
                 Linkage disequilibrium (LD) \\
                 Hardy--Weinberg equilibrium (HWE) \\
                 Quality control and preprocessing \\
                 Multiple Comparison Procedures \\
                 Measures of error \\
                 Single-step and step-down adjustments \\
                 Resampling-based methods \\
                 Alternative paradigms \\
                 Methods for Unobservable Phase \\
                 Haplotype estimation \\
                 Estimating and testing for haplotype-trait association
                 \\
                 Classification and Regression Trees \\
                 Building a tree \\
                 Optimal trees \\
                 Additional Topics in High-Dimensional Data Analysis \\
                 Random forests \\
                 Logic regression \\
                 Multivariate adaptive regression splines \\
                 Bayesian variable selection \\
                 Further readings",
}

@Article{Fox:2009:EDR,
  author =       "John Fox and Jangman Hong",
  title =        "Effect Displays in {R} for Multinomial and
                 Proportional-Odds Logit Models: Extensions to the {\tt
                 effects} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "1",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-17; Accepted 2009-09-22",
}

@Book{Gentleman:2009:RPB,
  author =       "Robert Gentleman",
  title =        "{R} programming for bioinformatics",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "xii + 314",
  year =         "2009",
  ISBN =         "1-4200-6367-7",
  ISBN-13 =      "978-1-4200-6367-7",
  LCCN =         "QH324.2 .G46 2009",
  bibdate =      "Thu Jul 10 08:49:26 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Chapman and Hall/CRC computer science and data
                 analysis series",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0901/2008011352-d.html;
                 http://www.loc.gov/catdir/toc/fy0805/2008011352.html",
  abstract =     "The Bioconductor project was initiated in 2001 to
                 provide a resource of R packages that specifically
                 address bioinformatics problems. This book provides an
                 overview of techniques to develop R programming skills
                 for bioinformatics. It covers R language fundamentals,
                 object-oriented programming in R, and foreign language
                 interfaces.",
  acknowledgement = ack-nhfb,
  author-dates = "1959--",
  subject =      "Bioinformatics; R (Computer program language)",
  tableofcontents = "Introducing R \\
                 R language fundamentals \\
                 Object-oriented programming in R \\
                 Input and output in R \\
                 Working with character data \\
                 Foreign language interfaces \\
                 R packages \\
                 Data technologies \\
                 Debugging and profiling",
}

@Article{Giorgino:2009:CVD,
  author =       "Toni Giorgino",
  title =        "Computing and Visualizing Dynamic Time Warping
                 Alignments in {R}: The {\tt dtw} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "7",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-09-30; Accepted 2009-06-26",
}

@Book{Giudici:2009:ADM,
  author =       "Paolo Giudici and Silvia Figini",
  title =        "Applied data mining for business and industry",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  edition =      "Second",
  pages =        "viii + 249",
  year =         "2009",
  ISBN =         "0-470-05886-2 (cloth), 0-470-05887-0 (paperback),
                 0-470-74582-7 (e-book)",
  ISBN-13 =      "978-0-470-05886-2 (cloth), 978-0-470-05887-9
                 (paperback), 978-0-470-74582-3 (e-book)",
  LCCN =         "QA76.9.D343 G75 2009",
  bibdate =      "Wed Sep 15 09:35:49 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470058862.html",
  acknowledgement = ack-nhfb,
  subject =      "data mining; business; data processing; commercial
                 statistics",
}

@Article{Grasman:2009:FCC,
  author =       "Raoul Grasman and Han L. J. van der Maas and Eric-Jan
                 Wagenmakers",
  title =        "Fitting the Cusp Catastrophe in {R}: {A} {\tt cusp}
                 Package Primer",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "8",
  pages =        "??--??",
  month =        nov,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-10; Accepted 2009-05-09",
}

@Article{Grun:2009:AGE,
  author =       "Bettina Gr{\"u}n and Achim Zeileis",
  title =        "Automatic Generation of Exams in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "10",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-10; Accepted 2009-02-17",
}

@Book{Heiberger:2009:RTE,
  author =       "Richard M. Heiberger and Erich Neuwirth",
  title =        "{R} through {Excel}: a spreadsheet interface for
                 statistics, data analysis, and graphics",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xxv + 342",
  year =         "2009",
  ISBN =         "1-4419-0051-9 (paperback), 1-4419-0052-7 (e-book)",
  ISBN-13 =      "978-1-4419-0051-7 (paperback), 978-1-4419-0052-4
                 (e-book)",
  LCCN =         "QA276.45.R3 H45 2009",
  bibdate =      "Thu Jul 10 09:51:31 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  acknowledgement = ack-nhfb,
  author-dates = "1945--",
  subject =      "Microsoft Excel (Computer file); Microsoft Excel
                 (Computer file); Mathematical statistics; Data
                 processing; Graphical modeling (Statistics); R
                 (Computer program language); EXCEL.; R (Programm);
                 EXCEL.; R (Programm); Graphical modeling (Statistics);
                 Data processing.; R (Computer program language)",
  tableofcontents = "1. Getting started \\
                 2. Using RExcel and R Commander \\
                 3. Getting data into R \\
                 4. Normal and t distributions \\
                 5. Normal and t workbook \\
                 6. t-Tests \\
                 7. One-way ANOVA \\
                 8. Simple linear regression \\
                 9. What is least squares? \\
                 10. Multiple regression \\
                 two X-variables \\
                 11. Polynomial regression \\
                 12. Multiple regression \\
                 three or more X-variables \\
                 13. Contingency tables and the chi-square test \\
                 A. Installation of RExcel \\
                 B. Nuisances \\
                 installation, startup, or execution",
}

@Article{Helmreich:2009:PRP,
  author =       "James E. Helmreich and Robert M. Pruzek",
  title =        "{{\tt PSAgraphics}}: An {R} Package to Support
                 Propensity Score Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "6",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-09-24; Accepted 2008-12-22",
}

@Book{Heritier:2009:RMB,
  editor =       "Stephane Heritier and others",
  title =        "Robust methods in biostatistics",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "xiv + 268",
  year =         "2009",
  ISBN =         "0-470-02726-6 (cloth), 0-470-74054-X (e-book)",
  ISBN-13 =      "978-0-470-02726-4 (cloth), 978-0-470-74054-5
                 (e-book)",
  LCCN =         "QH323.5 .R615 2009",
  bibdate =      "Wed Sep 15 09:35:27 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Wiley series in probability and statistics",
  URL =          "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470027266.html",
  acknowledgement = ack-nhfb,
  subject =      "biometry; statistical methods; methods",
  tableofcontents = "Key measures and results \\
                 Linear regression \\
                 Mixed linear models \\
                 Generalized linear models \\
                 Marginal longitudinal data analysis \\
                 Survival analysis",
}

@Article{Hlynka:2009:BRBa,
  author =       "Myron Hlynka",
  title =        "Book Review: {{\booktitle{A First Course in
                 Statistical Programming With R}} by W. John Braun;
                 Duncan J. Murdoch}",
  journal =      j-TECHNOMETRICS,
  volume =       "51",
  number =       "3",
  pages =        "340--340",
  month =        aug,
  year =         "2009",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/40586629",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:30 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40025249;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/40586629",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Hoffmann:2009:FMA,
  author =       "Thomas J. Hoffmann and Nan M. Laird",
  title =        "{\tt fgui}: {A} Method for Automatically Creating
                 Graphical User Interfaces for Command-Line {R}
                 Packages",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "2",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-10-01; Accepted 2009-03-02",
}

@Book{Horgan:2009:PRI,
  author =       "Jane M. Horgan",
  title =        "Probability with {R}: an introduction with computer
                 science applications",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "xviii + 393",
  year =         "2009",
  ISBN =         "0-470-28073-5 (cloth)",
  ISBN-13 =      "978-0-470-28073-7 (cloth)",
  LCCN =         "QA76.9.M35 H863 2009",
  bibdate =      "Wed Sep 15 09:37:35 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/benfords-law.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/toc/ecip0819/2008022817.html;
                 http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470280735.html",
  acknowledgement = ack-nhfb,
  subject =      "computer science; mathematics; probabilities; R
                 (computer programming language)",
}

@Book{Klemela:2009:SMD,
  author =       "Jussi Klemel{\"a}",
  title =        "Smoothing of multivariate data: density estimation and
                 visualization",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "xxvi + 603",
  year =         "2009",
  ISBN =         "0-470-29088-9",
  ISBN-13 =      "978-0-470-29088-0",
  LCCN =         "QA278 .K584 2009",
  bibdate =      "Wed Sep 15 09:37:57 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Wiley series in probability and statistics",
  URL =          "http://www.loc.gov/catdir/enhancements/fy1012/2008032166-b.html;
                 http://www.loc.gov/catdir/enhancements/fy1012/2008032166-d.html;
                 http://www.loc.gov/catdir/toc/ecip0824/2008032166.html;
                 http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470290889.html",
  acknowledgement = ack-nhfb,
  subject =      "smoothing (statistics); estimation theory; analysis of
                 variance",
}

@Article{laGrange:2009:BIB,
  author =       "Anthony la Grange and Ni{\"e}l le Roux and Sugnet
                 Gardner-Lubbe",
  title =        "{{\tt BiplotGUI}}: Interactive Biplots in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "12",
  pages =        "??--??",
  month =        jun,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-29; Accepted 2009-03-17",
}

@Article{Lenth:2009:RSM,
  author =       "Russell V. Lenth",
  title =        "Response-Surface Methods in {R}, Using {\tt rsm}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "7",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-04; Accepted 2009-10-19",
}

@Article{Luoma:2009:SBR,
  author =       "Arto Luoma",
  title =        "Short Book Review: {{\booktitle{Simulation and
                 Inference for Stochastic Differential Equations: With R
                 Examples}} by Stefano M. Iacus}",
  journal =      j-INT-STAT-REV,
  volume =       "77",
  number =       "1",
  pages =        "163--163",
  month =        apr,
  year =         "2009",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.2307/27919714;
                 http://dx.doi.org/10.1111/j.1751-5823.2009.00074_19.x",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:23 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919684;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919714",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "26 Mar 2009",
}

@Article{Lupi:2009:URC,
  author =       "Claudio Lupi",
  title =        "Unit Root {CADF} Testing with {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "2",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-29; Accepted 2009-08-10",
}

@Article{Maindonald:2009:SBRb,
  author =       "John H. Maindonald",
  title =        "Short Book Review: {{\booktitle{Morphometrics with R}}
                 by Julien Claude; Michel Baylac; Emmanuel Paradis;
                 Tristan Stayton}",
  journal =      j-INT-STAT-REV,
  volume =       "77",
  number =       "2",
  pages =        "302--303",
  month =        aug,
  year =         "2009",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2009.00085_3.x;
                 http://dx.doi.org/10.2307/27919731",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:23 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919718;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919731",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "2 Jul 2009",
}

@Article{Maloney:2009:BRB,
  author =       "Laurence T. Maloney",
  title =        "Book Review: {{\booktitle{Introduction to Probability
                 with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "BR-1",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-27; Accepted 2009-04-27",
}

@Article{Meyer:2009:GCS,
  author =       "David Meyer and Kurt Hornik",
  title =        "Generalized and Customizable Sets in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "2",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-21; Accepted 2009-06-11",
}

@Book{Muenchen:2009:RSS,
  author =       "Robert A. Muenchen",
  title =        "{R} for {SAS} and {SPSS} users",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xvii + 470",
  year =         "2009",
  ISBN =         "0-387-09417-2",
  ISBN-13 =      "978-0-387-09417-5",
  bibdate =      "Sat Jun 13 09:29:38 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.bibsys.no:2100/BIBSYS",
  series =       "Statistics and computing",
  acknowledgement = ack-nhfb,
  subject =      "SAS (computer file); SPSS (computer file); R (computer
                 programming language)",
  tableofcontents = "1. Introduction \\
                 2. The Five Main Parts of SAS and SPSS \\
                 3. Programming Conventions \\
                 4. Typographic Conventions \\
                 5. Installing and Updating R \\
                 6. Running R \\
                 7. Help and Documentation \\
                 8. Programming Language Basics \\
                 9. Data Acquisition \\
                 10. Selecting Variables --- Var, Variables = \\
                 11. Selecting Observations --- Where, If, Select If,
                 Filter \\
                 12. Selecting Both Variables and Observations \\
                 13. Converting Data Structures \\
                 14. Data Management \\
                 15. Value Labels or Formats (and Measurement Level) \\
                 16. Variable Labels \\
                 17. Generating Data \\
                 18. How R Stores Data \\
                 20. Graphics Overview \\
                 21. Traditional Graphics \\
                 22. Graphics with ggplot2 (GPL) \\
                 23. Statistics \\
                 24. Conclusion \\
                 App. A. A Glossary of R Jargon \\
                 App. B. A Comparison of SAS and SPSS Products with R
                 Packages and Functions \\
                 App. C. Automating Your Settings \\
                 App. D. A comparison of the major attributes of SAS and
                 SPSS to R",
}

@Article{Murrell:2009:IVG,
  author =       "Paul Murrell",
  title =        "Importing Vector Graphics: The {{\tt grImport}}
                 Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "4",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-16; Accepted 2009-02-27",
}

@Article{Murrell:2009:QCS,
  author =       "Paul Murrell and Stephen Gardiner",
  title =        "Quality Control for Statistical Graphics: The {{\tt
                 graphicsQC}} Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "1",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-08; Accepted 2009-02-25",
}

@Article{Myers:2009:BRBc,
  author =       "Donald E. Myers",
  title =        "Book Review: {{\booktitle{Applied Econometrics With
                 R}} by Christian Klieber; Achim Zeileis}",
  journal =      j-TECHNOMETRICS,
  volume =       "51",
  number =       "4",
  pages =        "484--485",
  month =        nov,
  year =         "2009",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/40586665",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:31 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40025250;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/40586665",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Ng:2009:BRB,
  author =       "Hon Keung Tony Ng",
  title =        "Book Review: {{\booktitle{Probability and Statistics
                 With R}} by Maria Dolores Ugarte; Ana F. Militino; Alan
                 T. Arnholt}",
  journal =      j-TECHNOMETRICS,
  volume =       "51",
  number =       "2",
  pages =        "220--220",
  month =        may,
  year =         "2009",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/40586606",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:29 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40025248;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/40586606",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Nordhausen:2009:SBRb,
  author =       "Klaus Nordhausen",
  title =        "Short Book Review: {{\booktitle{A First Course in
                 Statistical Programming with R}} by W. John Braun,
                 Duncan J. Murdoch}",
  journal =      j-INT-STAT-REV,
  volume =       "77",
  number =       "2",
  pages =        "317--317",
  month =        aug,
  year =         "2009",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2009.00085_19.x;
                 http://dx.doi.org/10.2307/27919747",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:23 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919718;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919747",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "2 Jul 2009",
}

@Article{OBrien:2009:SBRd,
  author =       "C. M. O'Brien",
  title =        "Short Book Review: {{\booktitle{Wavelet Methods in
                 Statistics with R}} by G. P. Nason}",
  journal =      j-INT-STAT-REV,
  volume =       "77",
  number =       "1",
  pages =        "159--159",
  month =        apr,
  year =         "2009",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.2307/27919710;
                 http://dx.doi.org/10.1111/j.1751-5823.2009.00074_15.x",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:23 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919684;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919710",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "26 Mar 2009",
}

@Article{OBrien:2009:SBRe,
  author =       "C. M. O'Brien",
  title =        "Short Book Review: {{\booktitle{Introduction to
                 Scientific Programming and Simulation Using R}} by [E.
                 Stuart] Owen-Jones, Robert Maillardet, Andrew
                 Robinson}",
  journal =      j-INT-STAT-REV,
  volume =       "77",
  number =       "3",
  pages =        "471--471",
  month =        dec,
  year =         "2009",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2009.00095_8.x;
                 http://dx.doi.org/10.2307/27919776",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:23 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919757;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919776",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "29 Oct 2009",
}

@Article{OBrien:2009:SBRg,
  author =       "C. M. O'Brien",
  title =        "Short Book Review: {{\booktitle{Nonlinear Regression
                 with R}} by Christian Ritz, Jens Carl Streibig}",
  journal =      j-INT-STAT-REV,
  volume =       "77",
  number =       "3",
  pages =        "473--473",
  month =        dec,
  year =         "2009",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2009.00095_10.x;
                 http://dx.doi.org/10.2307/27919778",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:23 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919757;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919778",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "29 Oct 2009",
}

@Book{Owen-Jones:2009:ISP,
  author =       "E. Stuart Owen-Jones and Robert Maillardet and Andrew
                 (Andrew P.) Robinson",
  title =        "Introduction to scientific programming and simulation
                 with using {R}",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "xix + 453",
  year =         "2009",
  ISBN =         "1-4200-6872-5",
  ISBN-13 =      "978-1-4200-6872-6",
  LCCN =         "Q183.9 .J66 2009",
  bibdate =      "Fri Nov 16 08:26:36 MST 2012",
  bibsource =    "fsz3950.oclc.org:210/WorldCat;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  subject =      "R (Langage de programmation); Sciences; Informatique;
                 Simulation par ordinateur; Processus stochastiques;
                 Mod{\`e}les math{\'e}matiques",
  tableofcontents = "I. Programming \\
                 Setting up \\
                 R as a calculating environment \\
                 Basic programming \\
                 I/O: input and output \\
                 Programming with functions \\
                 Sophisticated data structures \\
                 Better graphics \\
                 Pointers to further programming techniques \\
                 II. Numerical techniques \\
                 Numerical accuracy and program efficiency \\
                 Root-finding \\
                 Numerical integration \\
                 Optimisation \\
                 III. Probability and statistics \\
                 Probability \\
                 Random variables \\
                 Discrete random variables \\
                 Continuous random variables \\
                 Parameter estimation \\
                 Simulation \\
                 Monte-Carlo integration \\
                 Variance reduction \\
                 Case studies \\
                 Student projects \\
                 Glossary of R commands \\
                 Programs and functions developed in the text",
}

@Book{Petris:2009:DLM,
  author =       "Giovanni Petris and Sonia Petrone and Patrizia
                 Campagnoli",
  title =        "Dynamic linear models With {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xiii + 251",
  year =         "2009",
  ISBN =         "0-387-77237-5, 0-387-77238-3",
  ISBN-13 =      "978-0-387-77237-0, 978-0-387-77238-7",
  LCCN =         "QA276.45.R3 P48 2009",
  bibdate =      "Tue Sep 6 08:11:40 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  URL =          "http://www.loc.gov/catdir/enhancements/fy1108/2009926480-d.htm",
  acknowledgement = ack-nhfb,
  subject =      "R (Computer program language); Linear models
                 (Statistics); Data processing; State-space methods",
  tableofcontents = "Introduction: basic notions about Bayesian
                 inference \\
                 Dynamic linear models \\
                 Model specification \\
                 Models with unknown parameters \\
                 Sequential Monte Carlo methods \\
                 Appendix A: Useful distributions \\
                 Appendix B: Matrix algebra: singular value
                 decomposition",
}

@Article{Picka:2009:BRB,
  author =       "Jeffrey Picka",
  title =        "Book Review: {{\booktitle{Introduction to Probability
                 With R}} by K. Baclawski}",
  journal =      j-TECHNOMETRICS,
  volume =       "51",
  number =       "2",
  pages =        "221--221",
  month =        may,
  year =         "2009",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/40586607",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:29 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40025248;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
  URL =          "http://www.jstor.org/stable/40586607",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Pienaar:2009:BRB,
  author =       "Jacques A. Pienaar",
  title =        "Book Review: {{\booktitle{Probability and statistics
                 with R}}}",
  journal =      j-J-APPL-STAT,
  volume =       "36",
  number =       "6",
  pages =        "703--704",
  month =        jun,
  year =         "2009",
  CODEN =        "????",
  ISSN =         "0266-4763 (print), 1360-0532 (electronic)",
  ISSN-L =       "0266-4763",
  bibdate =      "Wed Aug 25 11:41:56 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/japplstat.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.tandf.co.uk/journals/routledge/02664763.html",
  note =         "See \cite{Ugarte:2008:PSR}.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Applied Statistics",
  journal-URL =  "http://www.tandfonline.com/loi/cjas20",
}

@Article{Polzehl:2009:SAS,
  author =       "J{\"o}rg Polzehl and Karsten Tabelow",
  title =        "Structural Adaptive Smoothing in Diffusion Tensor
                 Imaging: The {R} Package {\tt dti}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "9",
  pages =        "??--??",
  month =        sep,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-12; Accepted 2009-06-25",
}

@Book{Ramsay:2009:FDA,
  author =       "J. O. (James O.) Ramsay and Giles Hooker and Spencer
                 Graves",
  title =        "Functional data analysis with {R} and {MATLAB}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xi + 207",
  year =         "2009",
  ISBN =         "0-387-98184-5 (paperback), 0-387-98185-3 (e-book)",
  ISBN-13 =      "978-0-387-98184-0 (paperback), 978-0-387-98185-7
                 (e-book)",
  LCCN =         "QA278 .R365 2009",
  bibdate =      "Wed Jul 9 10:37:43 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/matlab.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  acknowledgement = ack-nhfb,
  subject =      "MATLAB; Multivariate analysis; Data processing; R
                 (Computer program language); Datenanalyse; MATLAB; R
                 (Programm)",
  tableofcontents = "Introduction to functional data analysis \\
                 Essential comparisons of the Matlab and R languages \\
                 How to specify basis systems for building functions \\
                 How to build functional data objects \\
                 Smoothing: computing curves from noisy data \\
                 Descriptions of functional data \\
                 Exploring variation: functional principal and canonical
                 components analysis \\
                 Registration: aligning features for samples of curves
                 \\
                 Functional linear models for scalar responses \\
                 Linear models for functional responses \\
                 Functional models and dynamics \\
                 Symbol table",
}

@Book{Ritz:2009:NRR,
  author =       "Christian Ritz",
  title =        "Nonlinear regression with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xxiii + 252",
  year =         "2009",
  DOI =          "http://dx.doi.org/10.1007/978-0-387-09616-2",
  ISBN =         "0-387-09615-9",
  ISBN-13 =      "978-0-387-09615-5",
  LCCN =         "????",
  bibdate =      "Thu Jul 10 08:46:18 MDT 2014",
  bibsource =    "fsz3950.oclc.org:210/WorldCat;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Use R!",
  acknowledgement = ack-nhfb,
  subject =      "Regresi{\'o}n (Estad{\'i}stica); R (Lenguaje de
                 programaci{\'o}n)",
}

@Article{Robinson:2009:BRB,
  author =       "Andrew Robinson",
  title =        "Book Review: {{\booktitle{Adaptive design theory and
                 implementation using SAS and R}}}",
  journal =      j-J-APPL-STAT,
  volume =       "36",
  number =       "6",
  pages =        "701--702",
  month =        jun,
  year =         "2009",
  CODEN =        "????",
  ISSN =         "0266-4763 (print), 1360-0532 (electronic)",
  ISSN-L =       "0266-4763",
  bibdate =      "Wed Aug 25 11:41:56 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/japplstat.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.tandf.co.uk/journals/routledge/02664763.html",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Applied Statistics",
  journal-URL =  "http://www.tandfonline.com/loi/cjas20",
}

@Article{Rufibach:2009:CSR,
  author =       "Kaspar Rufibach",
  title =        "Code Snippet: reporttools: {R} Functions to Generate
                 {LaTeX} Tables of Descriptive Statistics",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "CS-1",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-13; Accepted 2009-05-05",
}

@Article{Sabatti:2009:BRB,
  author =       "Chiara Sabatti and Christophe Lalanne",
  title =        "Book Review: {{\booktitle{Applied Statistical Genetics
                 with R for Population-Based Association Studies}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "BR-2",
  pages =        "??--??",
  month =        sep,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-19; Accepted 2009-09-19",
}

@Book{Sawitzki:2009:CSIa,
  author =       "G{\"u}nther Sawitzki",
  title =        "Computational statistics: an introduction to {R}",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "xiv + 251 + 8",
  year =         "2009",
  ISBN =         "1-4200-8678-2 (hardcover)",
  ISBN-13 =      "978-1-4200-8678-2 (hardcover)",
  LCCN =         "QA276.45.R3 S29 2009",
  bibdate =      "Thu Jul 10 08:57:23 MDT 2014",
  bibsource =    "fsz3950.oclc.org:210/WorldCat;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://catdir.loc.gov/catdir/toc/fy0904/2008042298.html",
  abstract =     "Suitable for a compact course or self-study,
                 Computational Statistics: An Introduction to R
                 illustrates how to use the freely available R software
                 package for data analysis, statistical programming, and
                 graphics. Integrating R code and examples throughout,
                 the text only requires basic knowledge of statistics
                 and computing.\par

                 This introduction covers one-sample analysis and
                 distribution diagnostics, regression, two-sample
                 problems and comparison of distributions, and
                 multivariate analysis. It uses a range of examples to
                 demonstrate how R can be employed to tackle statistical
                 problems. In addition, the handy appendix includes a
                 collection of R language elements and functions,
                 serving as a quick reference and starting point to
                 access the rich information that comes bundled with
                 R.",
  acknowledgement = ack-nhfb,
  subject =      "R (Computer program language); Mathematical
                 statistics; Data processing; R; (Programmiersprache);
                 Datenanalyse.; Datenanalyse; R (Programmiersprache); R
                 <Programm>; Statistik.; Data processing.; R (Computer
                 program language)",
  tableofcontents = "1 Basic data analysis \\
                 R programming conventions \\
                 Generation of random numbers and patterns \\
                 Random numbers \\
                 Patterns \\
                 Case study: distribution diagnostics \\
                 Distribution functions \\
                 Histograms \\
                 Barcharts \\
                 Statistics of distribution functions;
                 Kolmogorov-Smirnov tests \\
                 Monte Carlo confidence bands \\
                 Statistics of histograms and related plots; X2-tests
                 \\
                 Moments and quantiles \\
                 R complements \\
                 Random numbers \\
                 Graphical comparisons \\
                 Functions \\
                 Enhancing graphical displays \\
                 R internals \\
                 parse \\
                 eval \\
                 print \\
                 Executing files \\
                 Packages \\
                 Statistical summary \\
                 Literature and additional references \\
                 2 Regression \\
                 General regression model \\
                 Linear model \\
                 Factors \\
                 Least squares estimation \\
                 Regression diagnostics \\
                 More examples for linear models \\
                 Model formulae \\
                 Gauss-Markov estimator and residuals \\
                 Variance decomposition and analysis of variance \\
                 Simultaneous inference \\
                 Scheff{\'e}'s confidence bands \\
                 Tukey's confidence intervals \\
                 Case study: titre plates \\
                 Beyond linear regression \\
                 Transformations \\
                 Generalised linear models \\
                 Local regression \\
                 R complements \\
                 Discretisation \\
                 External data \\
                 Testing software \\
                 R data types \\
                 Classes and polymorphic functions \\
                 Extractor functions \\
                 Statistical summary \\
                 Literature and additional references \\
                 3 Comparisons \\
                 Shift/scale families, and stochastic order \\
                 QQ plot, PP plot, and comparison of distributions \\
                 Kolmogorov-Smirnov tests \\
                 Tests for shift alternatives \\
                 Road map \\
                 Power and confidence \\
                 Theoretical power and confidence \\
                 Simulated power and confidence \\
                 Quantile estimation \\
                 Qualitative features of distributions \\
                 Statistical summary \\
                 Literature and additional references \\
                 4 Dimensions 1, 2, 3 \ldots{}, c \\
                 R Complements \\
                 Dimensions \\
                 Selections \\
                 Projections \\
                 Marginal distributions and scatter plot matrices \\
                 Projection pursuit \\
                 Projections for dimensions 1, 2, 3 \ldots{} 7 \\
                 Parallel coordinates \\
                 Sections, conditional distributions and coplots \\
                 Transformations and dimension reduction \\
                 Higher dimensions \\
                 Linear case \\
                 Partial residuals and added variable plots \\
                 Non-linear case \\
                 Example: cusp non-linearity \\
                 Case study: Melbourne temperature data \\
                 Curse of dimensionality \\
                 Case study: body fat \\
                 High dimensions \\
                 Statistical summary \\
                 R as a programming language and environment \\
                 Help and information \\
                 Names and search paths \\
                 Administration and customisation \\
                 Basic data types \\
                 Output for objects \\
                 Object inspection \\
                 System inspection \\
                 Complex data types \\
                 Accessing components \\
                 Data manipulation \\
                 Operators \\
                 Functions \\
                 Debugging and profiling \\
                 Control structures \\
                 Input and output to data streams; external data \\
                 Libraries, packages \\
                 Mathematical operators and functions; linear algebra
                 \\
                 Model descriptions \\
                 Graphic functions \\
                 High-level graphics \\
                 Low-level graphics \\
                 Annotations and legends \\
                 Graphic parameters and Llyout \\
                 Elementary statistical functions \\
                 Distributions, random numbers, densities \ldots{} \\
                 Computing on the language",
}

@Article{Schmidberger:2009:SAP,
  author =       "Markus Schmidberger and Martin Morgan and Dirk
                 Eddelbuettel and Hao Yu and Luke Tierney and Ulrich
                 Mansmann",
  title =        "State of the Art in Parallel Computing with {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "1",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-29; Accepted 2009-06-02",
}

@Article{Scott:2009:SBRa,
  author =       "David J. Scott",
  title =        "Short Book Review: {{\booktitle{Applied Econometrics
                 with R}} by Christian Kleiber, Achim Zeileis}",
  journal =      j-INT-STAT-REV,
  volume =       "77",
  number =       "1",
  pages =        "164--164",
  month =        apr,
  year =         "2009",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2009.00074_20.x;
                 http://dx.doi.org/10.2307/27919715",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:23 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919684;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919715",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "26 Mar 2009",
}

@Book{Sheather:2009:MAR,
  author =       "Simon J. Sheather",
  title =        "A modern approach to regression with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xiv + 392",
  year =         "2009",
  ISBN =         "0-387-09607-8 (hardcover)",
  ISBN-13 =      "978-0-387-09607-0 (hardcover)",
  LCCN =         "QA278.2 .S496 2009",
  bibdate =      "Thu Jul 10 09:34:47 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Springer texts in statistics",
  acknowledgement = ack-nhfb,
  subject =      "Regression analysis; R (Computer program language);
                 Regressieanalyse; R (computerprogramma); Analyse de
                 r{\'e}gression; R (Langage de programmation)",
  tableofcontents = "Introduction \\
                 Simple linear regression \\
                 Diagnostics and transformations for simple linear
                 regression \\
                 Weighted least squares \\
                 Multiple linear regression \\
                 Diagnostics and transformations for multiple linear
                 regression \\
                 Variable selection \\
                 Logistic regression \\
                 Serially correlated errors \\
                 Mixed models",
}

@Article{Solymos:2009:PED,
  author =       "P{\'e}ter S{\'o}lymos",
  title =        "Processing Ecological Data in {R} with the {\tt mefa}
                 Package",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "8",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-10-09; Accepted 2009-01-04",
}

@Book{Stapleton:2009:LSM,
  author =       "James H. Stapleton",
  title =        "Linear statistical models",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  edition =      "Second",
  pages =        "xii + 474",
  year =         "2009",
  ISBN =         "0-470-23146-7 (cloth)",
  ISBN-13 =      "978-0-470-23146-3 (cloth)",
  LCCN =         "QA279 .S695 2009",
  bibdate =      "Wed Sep 15 09:37:14 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Wiley series in probability and statistics",
  URL =          "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470231467.html",
  acknowledgement = ack-nhfb,
  subject =      "linear models (statistics)",
}

@Book{Stevens:2009:PER,
  author =       "M. Henry H. (Martin Henry Hoffman) Stevens",
  title =        "A primer of ecology with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xvi + 401",
  year =         "2009",
  DOI =          "http://dx.doi.org/10.1007/978-0-387-89882-7",
  ISBN =         "0-387-89881-6 (softcover), 0-387-89882-4 (e-but)",
  ISBN-13 =      "978-0-387-89881-0 (softcover), 978-0-387-89882-7
                 (e-but)",
  LCCN =         "QH541.15.S5 S74 2009",
  bibdate =      "Thu Jul 10 12:37:02 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  acknowledgement = ack-nhfb,
  subject =      "Ecology; Computer simulation; R (Computer program
                 language); Philosophy",
}

@Article{Tierney:2009:SPC,
  author =       "Luke Tierney and A. J. Rossini and Na Li",
  title =        "{Snow}: a Parallel Computing Framework for the {R}
                 System",
  journal =      j-INT-J-PARALLEL-PROG,
  volume =       "37",
  number =       "1",
  pages =        "78--90",
  month =        feb,
  year =         "2009",
  CODEN =        "IJPPE5",
  DOI =          "http://dx.doi.org/10.1007/s10766-008-0077-2",
  ISSN =         "0885-7458 (print), 1573-7640 (electronic)",
  ISSN-L =       "0885-7458",
  bibdate =      "Wed Sep 1 16:06:47 MDT 2010",
  bibsource =    "http://springerlink.metapress.com/openurl.asp?genre=issue&issn=0885-7458&volume=37&issue=1;
                 http://www.math.utah.edu/pub/tex/bib/intjparallelprogram.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0885-7458&volume=37&issue=1&spage=78",
  acknowledgement = ack-nhfb,
  fjournal =     "International Journal of Parallel Programming",
  journal-URL =  "http://link.springer.com/journal/10766",
}

@Article{Unlu:2009:FSR,
  author =       "Ali {\"U}nl{\"u} and Thomas Kiefer and Ehtibar N.
                 Dzhafarov",
  title =        "{Fechnerian} Scaling in {R}: The Package {\tt
                 fechner}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "6",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-30; Accepted 2009-07-29",
}

@Article{Valero-Mora:2009:BRBa,
  author =       "Pedro M. Valero-Mora",
  title =        "Book Review: {{\booktitle{Introductory Statistics with
                 R (Second Edition)}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-10",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/b10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-15; Accepted 2009-01-15",
}

@Article{Valero-Mora:2009:BRBb,
  author =       "Pedro M. Valero-Mora",
  title =        "Book Review: {{\booktitle{Interactive and Dynamic
                 Graphics for Data Analysis: With R and GGobi}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "BR-7",
  pages =        "??--??",
  month =        may,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/b07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-05-11; Accepted 2009-05-11",
}

@Book{Valiente:2009:CPM,
  author =       "Gabriel Valiente",
  title =        "Combinatorial pattern matching algorithms in
                 computational biology using {Perl} and {R}",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "352",
  year =         "2009",
  ISBN =         "1-4200-6973-X (hardcover)",
  ISBN-13 =      "978-1-4200-6973-0 (hardcover)",
  LCCN =         "QH324.2 .V35 2009",
  bibdate =      "Fri Nov 16 06:34:12 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Chapman and Hall/CRC mathematical and computational
                 biology series",
  acknowledgement = ack-nhfb,
  subject =      "Computational biology; Pattern formation (Biology);
                 Computer simulation; Graph algorithms; Perl (Computer
                 program language); R (Computer program language)",
}

@Article{VandenMeersche:2009:CSX,
  author =       "Karel {Van den Meersche} and Karline Soetaert and Dick
                 Van Oevelen",
  title =        "Code Snippet: {{\tt xsample()}}: An {R} Function for
                 Sampling Linear Inverse Problems",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "CS-1",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-05-26; Accepted 2009-03-31",
}

@Article{Varadhan:2009:BRP,
  author =       "Ravi Varadhan and Paul Gilbert",
  title =        "{{\tt BB}}: An {R} Package for Solving a Large System
                 of Nonlinear Equations and for Optimizing a
                 High-Dimensional Nonlinear Objective Function",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "4",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-31; Accepted 2009-06-29",
}

@Article{Vinod:2009:MEB,
  author =       "Hrishikesh D. Vinod and Javier Lopez-de-Lacalle",
  title =        "Maximum Entropy Bootstrap for Time Series: The {\tt
                 meboot} {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "5",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-10-17; Accepted 2008-07-04",
}

@Article{Voelkel:2009:SBR,
  author =       "Joseph G. Voelkel",
  title =        "Short Book Review: {{\booktitle{R for SAS and SPSS
                 Users}} by Robert A. Muenchen}",
  journal =      j-INT-STAT-REV,
  volume =       "77",
  number =       "3",
  pages =        "465--466",
  month =        dec,
  year =         "2009",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2009.00095_3.x;
                 http://dx.doi.org/10.2307/27919771",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:23 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919757;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919771",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "29 Oct 2009",
}

@Book{Zucchini:2009:HMM,
  author =       "W. Zucchini and Iain L. MacDonald",
  title =        "Hidden {Markov} models for time series: an
                 introduction using {R}",
  volume =       "110",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "xxii + 275",
  year =         "2009",
  ISBN =         "1-58488-573-4 (hardcover)",
  ISBN-13 =      "978-1-58488-573-3 (hardcover)",
  LCCN =         "QA280 .Z83 2009",
  bibdate =      "Thu Jul 10 12:08:53 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Monographs on statistics and applied probability",
  abstract =     "\booktitle{Hidden Markov Models for Time Series}
                 presents an accessible overview of hidden Markov models
                 for analyzing a wide range of time series data,
                 including discrete-valued, continuous-valued, circular,
                 and multivariate. Demonstrating how to apply methods to
                 real world problems, it features applications from a
                 variety of fields, such as animal behavior,
                 epidemiology, and finance. It also discusses the
                 implementation of all of the techniques using R,
                 illustrating how R can be used for parameter
                 estimation, model selection, and model checking. With
                 numerous exercises, this is outstanding both as a text
                 for graduate students and as a reference for
                 researchers, practitioners.",
  acknowledgement = ack-nhfb,
  subject =      "Time-series analysis; Markov processes; R (Computer
                 program language)",
  tableofcontents = "Part 1. Model structure, properties and methods \\
                 1. Preliminaries: mixtures and Markov chains \\
                 2. Hidden Markov models: definition and properties \\
                 3. Estimation by direct maximization of the likelihood
                 \\
                 4. Estimation by the EM algorithm \\
                 5. Forecasting, decoding and state prediction \\
                 6. Model selection and checking \\
                 7. Bayesian inference for Poisson HMMs \\
                 Part 2. Applications \\
                 9. Epileptic seizures \\
                 10. Eruptions of the Old Faithful geyser \\
                 11. Drosophila speed and change of direction \\
                 12. Wind direction at Koeberg \\
                 13. Models for financial series \\
                 14. Births at Edendale Hospital \\
                 15. Homicides and suicides in Cape Town \\
                 16. Animal behaviour model with feedback \\
                 A. Examples of R code \\
                 B. Some proofs",
}

@Book{Zuur:2009:BGR,
  author =       "Alain F. Zuur and Elena N. Ieno and Erik H. W. G.
                 Meesters",
  title =        "A beginner's guide to {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xv + 218",
  year =         "2009",
  ISBN =         "0-387-93836-2 (softcover), 0-387-93837-0 (e-book)",
  ISBN-13 =      "978-0-387-93836-3 (softcover), 978-0-387-93837-0
                 (e-book)",
  LCCN =         "QA276.45.R3 Z88 2009",
  bibdate =      "Thu Jul 10 09:58:44 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  abstract =     "Based on their extensive experience with teaching R
                 and statistics to applied scientists, the authors
                 provide a beginner's guide to R. To avoid the
                 difficulty of teaching R and statistics at the same
                 time, statistical methods are kept to a minimum. The
                 text covers how to download and install R, import and
                 manage data, elementary plotting, an introduction to
                 functions, advanced plotting, and common beginner
                 mistakes. This book contains everything you need to
                 know to get started with R. \par

                 ``Its biggest advantage is that it aims only to teach
                 R\ldots{}It organizes R commands very efficiently, with
                 much teaching guidance included. I would describe this
                 book as being handy--it's the kind of book that you
                 want to keep in your jacket pocket or backpack all the
                 time, ready for use, like a Swiss Army knife.''
                 (Loveday Conquest, University of Washington)
                 \par

                 ``Whilst several books focus on learning statistics in
                 R\ldots{}, the authors of this book fill a gap in the
                 market by focusing on learning R whilst almost
                 completely avoiding any statistical jargon\ldots{}The
                 fact that the authors have very extensive experience of
                 teaching R to absolute beginners shines throughout.''
                 (Mark Mainwaring, Lancaster University)\par

                 ``Exactly what is needed\ldots{}This is great, nice
                 work. I love the ecological/biological examples; they
                 will be an enormous help.'' (Andrew J. Tyne, University
                 of Nebraska-Lincoln).\par

                 Alain F. Zuur is senior statistician and director of
                 Highland Statistics Ltd., a statistical consultancy
                 company based in the UK. He has taught statistics to
                 more than 5000 ecologists. He is honorary research
                 fellow in the School of Biological Sciences, Oceanlab,
                 at the University of Aberdeen, UK. Elena N. Ieno is
                 senior marine biologist and co-director at Highland
                 Statistics Ltd. She has been involved in guiding PhD
                 students on the design and analysis of ecological data.
                 She is honorary research fellow in the School of
                 Biological Sciences, Oceanlab, at the University of
                 Aberdeen, UK. Erik H. W. G. Meesters is a researcher at
                 the Dutch Institute for Marine Resources and Ecosystem
                 Studies (IMARES). He specializes in coral reef ecology
                 and applied statistics and conducts research on North
                 Sea benthos and seal ecology.",
  acknowledgement = ack-nhfb,
  subject =      "Statistics; Data processing; Software; Science;
                 Statistical methods; Statistical methods; Data
                 processing; R (Computer program language); Handbooks,
                 manuals, etc; Mathematical statistics; Data
                 processing",
  tableofcontents = "1. Introduction \\
                 2. Getting data into R \\
                 3. Accessing variables and managing subsets of data \\
                 4. Simple functions \\
                 5. introduction to basic plotting tools \\
                 6. Loops and functions \\
                 7. Graphing tools \\
                 8. introduction to the lattice package \\
                 9. Common R mistakes",
}

@Book{Zuur:2009:MEM,
  author =       "Alain F. Zuur and Elena N. Ieno and Neil J. Walker and
                 Anatoly A. Saveliev and Graham M. Smith",
  title =        "Mixed effects models and extensions in ecology with
                 {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xxii + 574",
  year =         "2009",
  ISBN =         "0-387-87457-7 (hardcover)",
  ISBN-13 =      "978-0-387-87457-9 (hardcover)",
  LCCN =         "QH541.15.S72 M59 2009",
  bibdate =      "Thu Jul 10 08:44:44 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Statistics for biology and health",
  acknowledgement = ack-nhfb,
  subject =      "Ecology; Statistical methods; R (Computer program
                 language)",
  tableofcontents = "Limitations of linear regression applied on
                 ecological data \\
                 Things are not always linear: additive modeling \\
                 Dealing with heterogeneity \\
                 Mixed effects modeling for nested data \\
                 Violation of independence. Part 1 \\
                 Violation of independence. Part 2 \\
                 Meet the exponential family \\
                 GLM and GAM for count data \\
                 GLM and GAM for absence-presence and proportional data
                 \\
                 Zero-truncated and zero-inflated models for count data
                 \\
                 Generalised estimation equations \\
                 GLMM and GAMM \\
                 Estimating trends for Antarctic birds in relation to
                 climate change / A. F. Zuur \ldots{} [et al.] \\
                 Large scale impacts of land-use change in a Scottish
                 farming catchment / A. F. Zuur \ldots{} [et al.] \\
                 Negative binomial GAM and GAMM to analyse amphibian
                 roadkills / A. F. Zuur \ldots{} [et al.] \\
                 Additive mixed modelling applied on deep-sea pelagic
                 bioluminescent organisms / A. F. Zuur \ldots{} [et al.]
                 \\
                 Additive mixed modelling applied on phytoplankton time
                 series data / A. F. Zuur \ldots{} [et al.] \\
                 Mixed effects modelling applied on American foulbrood
                 affecting honey bees larvae / A. F. Zuur \ldots{} [et
                 al.] \\
                 Three-way nested data for age determination techniques
                 applied to cetaceans / E. N. Ieno \ldots{} [et al.] \\
                 GLMM applied on the spatial distribution of koalas in a
                 fragmented landscape / J. R. Rhodes \ldots{} [et al.]
                 \\
                 A comparison of GLM, GEE, and GLMM applied to badger
                 activity data / N. J. Walker \ldots{} [et al.] \\
                 Incorporating temporal correlation in seal abundance
                 data with MCMC / A. A. Saveliev \ldots{} [et al.] \\
                 Required pre-knowledge: a linear regression and
                 additive modelling example",
}

@Article{Abreu:2010:HDG,
  author =       "Gabriel C. G. Abreu and Rodrigo Labouriau and David
                 Edwards",
  title =        "High-Dimensional Graphical Model Search with the {{\tt
                 gRapHD}} {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "1",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-19; Accepted 2010-08-23",
}

@Book{Adler:2010:RN,
  author =       "Joseph Adler",
  title =        "{R} in a nutshell",
  publisher =    pub-ORA,
  address =      pub-ORA:adr,
  pages =        "xx + 611",
  year =         "2010",
  ISBN =         "0-596-80170-X",
  ISBN-13 =      "978-0-596-80170-0",
  LCCN =         "QA276.45.R3eb; QA276.45.R3; Internet",
  bibdate =      "Sun Mar 28 14:59:44 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 melvyl.cdlib.org:210/CDL90",
  acknowledgement = ack-nhfb,
  remark =       "December 2009: first edition.",
  subject =      "R (computer program language); mathematical
                 statistics; data processing",
}

@Article{Alfons:2010:OOF,
  author =       "Andreas Alfons and Matthias Templ and Peter
                 Filzmoser",
  title =        "An Object-Oriented Framework for Statistical
                 Simulation: The {R} Package {{\tt simFrame}}",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "3",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-31; Accepted 2010-09-24",
}

@Article{Almquist:2010:UCS,
  author =       "Zack W. Almquist",
  title =        "{US} Census Spatial and Demographic Data in {R}: The
                 {{\tt UScensus2000}} Suite of Packages",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "6",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-29; Accepted 2010-10-04",
}

@Article{Anonymous:2010:BRBb,
  author =       "Anonymous",
  title =        "Book Review: {{\booktitle{Analysis of Integrated and
                 Cointegrated Time Series With R}} (2nd ed.) by Bernhard
                 Pfaff}",
  journal =      j-TECHNOMETRICS,
  volume =       "52",
  number =       "1",
  pages =        "145--145",
  month =        feb,
  year =         "2010",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/40586696",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:33 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40025251;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/40586696",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Archer:2010:RRP,
  author =       "Kellie J. Archer",
  title =        "{{\tt rpartOrdinal}}: An {R} Package for Deriving a
                 Classification Tree for Predicting an Ordinal
                 Response",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "7",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-07; Accepted 2010-03-18",
}

@Article{Boik:2010:RPA,
  author =       "John C. Boik and Balasubramanian Narasimhan",
  title =        "An {R} Package for Assessing Drug Synergism\slash
                 Antagonism",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "6",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-10-03; Accepted 2010-01-27",
}

@Article{Booth:2010:BRBa,
  author =       "David Booth",
  title =        "Book Review: {{\booktitle{Computational Statistics: An
                 Introduction to R}} by Gunther Sawitzki}",
  journal =      j-TECHNOMETRICS,
  volume =       "52",
  number =       "3",
  pages =        "364--364",
  month =        aug,
  year =         "2010",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/27867261",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:35 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i27867243;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/27867261",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Bowman:2010:BRB,
  author =       "Adrian Bowman",
  title =        "Book Review: {{\booktitle{Functional Data Analysis
                 with R and MATLAB}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "BR-3",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-04-15; Accepted 2010-04-15",
}

@Article{Brooms:2010:BRB,
  author =       "A. C. Brooms",
  title =        "Book Review: {{\booktitle{Data Manipulation with
                 R}}}",
  journal =      j-J-APPL-STAT,
  volume =       "37",
  number =       "12",
  pages =        "2121--2121",
  month =        dec,
  year =         "2010",
  CODEN =        "????",
  DOI =          "http://dx.doi.org/10.1080/02664760903075531",
  ISSN =         "0266-4763 (print), 1360-0532 (electronic)",
  ISSN-L =       "0266-4763",
  bibdate =      "Mon Sep 5 18:53:11 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/japplstat.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.tandf.co.uk/journals/routledge/02664763.html",
  note =         "See \cite{Spector:2008:DMR}.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Applied Statistics",
  journal-URL =  "http://www.tandfonline.com/loi/cjas20",
  onlinedate =   "19 Nov 2010",
}

@Article{Burr:2010:BRB,
  author =       "Tom Burr",
  title =        "Book Review: {{\booktitle{Functional Data Analysis
                 With R and MATLAB}} by J. Ramsay; G. Hooker; S.
                 Graves}",
  journal =      j-TECHNOMETRICS,
  volume =       "52",
  number =       "4",
  pages =        "466--466",
  month =        nov,
  year =         "2010",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/40997262",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:37 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40045082;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/40997262",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Calcagno:2010:GRP,
  author =       "Vincent Calcagno and Claire de Mazancourt",
  title =        "{\tt glmulti}: An {R} Package for Easy Automated Model
                 Selection with (Generalized) Linear Models",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "12",
  pages =        "??--??",
  month =        may,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-06-19; Accepted 2010-01-29",
}

@Article{Chang:2010:CRP,
  author =       "Fang Chang and Weiliang Qiu and Ruben H. Zamar and
                 Ross Lazarus and Xiaogang Wang",
  title =        "{\tt clues}: An {R} Package for Nonparametric
                 Clustering Based on Local Shrinking",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "4",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-26; Accepted 2010-01-31",
}

@Article{Chausse:2010:CGM,
  author =       "Pierre Chauss{\'e}",
  title =        "Computing Generalized Method of Moments and
                 Generalized Empirical Likelihood with {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "11",
  pages =        "??--??",
  month =        may,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-26; Accepted 2010-01-29",
}

@Book{Cornillon:2010:SAR,
  author =       "Pierre-Andr{\'e} Cornillon and Arnaud Guyader and
                 Fran{\c{c}}ois Husson and Nicolas J{\'e}gou and Julie
                 Josse and Maela Kloareg and Eric Matzner-L{\o}ber and
                 Laurent Rouvi{\`e}re",
  title =        "Statistiques avec {R}",
  publisher =    "Presses universitaires de Rennes",
  address =      "Rennes, France",
  edition =      "Second",
  pages =        "v + 274",
  year =         "2010",
  ISBN =         "2-7535-1087-3 (paperback)",
  ISBN-13 =      "978-2-7535-1087-6 (paperback)",
  LCCN =         "QA276.45R3 C67.2010",
  bibdate =      "Thu Jul 10 13:10:39 MDT 2014",
  bibsource =    "fsz3950.oclc.org:210/WorldCat;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Pratique de la statistique / [collection] dirig{\'e}e
                 par {\'E}ric Matzner-L{\o}ber",
  URL =          "http://catalogue.bnf.fr/ark:/12148/cb42210870p",
  acknowledgement = ack-nhfb,
  remark =       "``Pratique de la statistique'' constitue une autre
                 forme de titre de la collection.",
  subject =      "Statistique math{\'e}matique.; R (logiciel).; Gestion;
                 M{\'e}thodes statistiques; Probl{\`e}mes et exercices.;
                 Math{\'e}matiques.; Statistiques.; R (logiciel);
                 statistique; [manuel]; R (Langage de programmation);
                 Informatique; Logiciels; R (Langage de programmation);
                 Statistique.",
}

@Article{Cribari-Neto:2010:BRR,
  author =       "Francisco Cribari-Neto and Achim Zeileis",
  title =        "Beta Regression in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "2",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-12-14; Accepted 2010-03-14",
}

@Article{Fay:2010:EAW,
  author =       "Michael P. Fay and Pamela A. Shaw",
  title =        "Exact and Asymptotic Weighted Logrank Tests for
                 Interval Censored Data: The {\tt interval} {R}
                 Package",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "2",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-02; Accepted 2010-03-18",
}

@Article{Furrer:2010:SSM,
  author =       "Reinhard Furrer and Stephan R. Sain",
  title =        "{{\tt spam}}: {A} Sparse Matrix {R} Package with
                 Emphasis on {MCMC} Methods for {Gaussian Markov} Random
                 Fields",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "10",
  pages =        "??--??",
  month =        sep,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-04; Accepted 2010-05-31",
}

@Book{Gavrilovska:2010:AHP,
  editor =       "Ada Gavrilovska",
  title =        "Attaining high performance communications: a vertical
                 approach",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "xxxii + 411",
  year =         "2010",
  ISBN =         "1-4200-9308-8 (hardcover)",
  ISBN-13 =      "978-1-4200-9308-7 (hardcover)",
  LCCN =         "QA76.88 .A77 2010",
  bibdate =      "Thu Nov 15 17:17:31 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  acknowledgement = ack-nhfb,
  subject =      "High performance computing",
}

@Article{Glaab:2010:VRP,
  author =       "Enrico Glaab and Jonathan M. Garibaldi and Natalio
                 Krasnogor",
  title =        "{{\tt vrmlgen}}: An {R} Package for {$3$D} Data
                 Visualization on the {Web}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "8",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-11-25; Accepted 2010-06-06",
}

@Article{Gould:2010:BRB,
  author =       "Robert Gould",
  title =        "Book Review: {{\booktitle{A Modern Approach to
                 Regression with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "BR-3",
  pages =        "??--??",
  month =        mar,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-03-16; Accepted 2010-03-16",
}

@Article{Gramacy:2010:CIS,
  author =       "Robert B. Gramacy and Matthew Alan Taddy",
  title =        "Categorical Inputs, Sensitivity Analysis, Optimization
                 and Importance Tempering with {\tt tgp} Version 2, an
                 {R} Package for Treed {Gaussian} Process Models",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "6",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-17; Accepted 2009-12-23",
}

@Article{Gromping:2010:ILE,
  author =       "Ulrike Gr{\"o}mping",
  title =        "Inference with Linear Equality and Inequality
                 Constraints Using {R}: The Package {\tt ic.infer}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "10",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-08-20; Accepted 2009-12-16",
}

@Article{Hadfield:2010:MMM,
  author =       "Jarrod D. Hadfield",
  title =        "{MCMC} Methods for Multi-Response Generalized Linear
                 Mixed Models: The {{\tt MCMCglmm}} {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "2",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-02-18; Accepted 2009-12-21",
}

@Article{Hahsler:2010:REM,
  author =       "Michael Hahsler and Margaret H. Dunham",
  title =        "{{\tt rEMM}}: Extensible {Markov} Model for Data
                 Stream Clustering in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "5",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-05-26; Accepted 2010-05-10",
}

@Article{Harte:2010:PRP,
  author =       "David Harte",
  title =        "{{\tt PtProcess}}: An {R} Package for Modelling Marked
                 Point Processes Indexed by Time",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "8",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-06-11; Accepted 2010-05-03",
}

@Article{Hilbe:2010:BRB,
  author =       "Joseph Hilbe",
  title =        "Book Review: {{\booktitle{Introduction to Scientific
                 Programming and Scientific Simulation Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "BR-4",
  pages =        "??--??",
  month =        sep,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/b04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-09-16; Accepted 2010-09-16",
}

@Article{Kahm:2010:GFB,
  author =       "Matthias Kahm and Guido Hasenbrink and Hella
                 Lichtenberg-Frat{\'e} and Jost Ludwig and Maik
                 Kschischo",
  title =        "{\tt grofit}: Fitting Biological Growth Curves with
                 {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "7",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-14; Accepted 2009-06-18",
}

@Book{Keen:2010:GSD,
  author =       "K. J. Keen",
  title =        "Graphics for statistics and data analysis with {R}",
  publisher =    pub-CHAPMAN-HALL-CRC,
  address =      pub-CHAPMAN-HALL-CRC:adr,
  pages =        "xxxiv + 447 + 8",
  year =         "2010",
  ISBN =         "1-58488-087-2 (hardcover)",
  ISBN-13 =      "978-1-58488-087-5 (hardcover)",
  LCCN =         "QA276.45.R3 K44 2010",
  bibdate =      "Thu Jul 10 09:54:27 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Chapman and Hall/CRC texts in statistical science
                 series",
  URL =          "http://www.loc.gov/catdir/enhancements/fy1013/2009053524-b.html",
  acknowledgement = ack-nhfb,
  subject =      "R (Computer program language); Mathematical
                 statistics; Graphic methods; Data processing",
  tableofcontents = "The graphical display of information \\
                 Basic charts for the distribution of a single discrete
                 variable \\
                 Advanced charts for the distribution of a single
                 discrete variable \\
                 Exploratory plots for the distribution of a single
                 continuous variable \\
                 Diagnostic plots for the distribution of a continuous
                 variable \\
                 Nonparametric density estimation for a single
                 continuous variable \\
                 Parametric density estimation for a single continuous
                 variable \\
                 Depicting the distribution of two discrete variables
                 \\
                 Depicting the distribution of one continuous variable
                 and one discrete variable \\
                 Depicting the distribution of two continuous variables
                 \\
                 Statistical models for two or more variables \\
                 Graphical displays for simple linear regression \\
                 Graphical displays for polynomial regression \\
                 Visualizing multivariate data",
}

@Book{Kleinman:2010:SRD,
  author =       "Ken Kleinman and Nicholas J. Horton",
  title =        "{SAS} and {R}: data management, statistical analysis,
                 and graphics",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "xix + 323",
  year =         "2010",
  ISBN =         "1-4200-7057-6 (hard back)",
  ISBN-13 =      "978-1-4200-7057-6 (hard back)",
  LCCN =         "QA76.73.S27 K54 2010",
  bibdate =      "Thu Jul 10 09:39:50 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  abstract =     "Eliminating the need to consult laborious
                 documentation, this book presents an easy way to learn
                 how to perform an analytical task in both SAS and R. It
                 covers many common tasks, along with more complex
                 applications. The text provides parallel examples in
                 SAS and R to demonstrate how to use the software and
                 derive identical answers regardless of software choice.
                 It also gives insight into the process of statistical
                 coding from beginning to end by supplying worked
                 examples of complex coding tasks. The authors include
                 an index for.",
  acknowledgement = ack-nhfb,
  subject =      "SAS (Computer program language); R (Computer program
                 language); SAS (Computer file)",
  subject =      "SAS (Computer file); SAS (Computer program language);
                 R (Computer program language); SAS (Computer program
                 language); R (Computer program language); Statistics;
                 Software; Data processing; Data analysis; Statistical
                 methods; Databehandling; Dataanalyse; Statistiske
                 metoder; R (Computer program language); SAS (Computer
                 program language)",
  tableofcontents = "Data Management \\
                 Common Statistical Procedures \\
                 Linear Regression and ANOVA. Regression Generalizations
                 \\
                 Graphics \\
                 Other Topics and Extended Examples \\
                 Appendices",
}

@Article{Kohl:2010:RPD,
  author =       "Matthias Kohl and Peter Ruckdeschel",
  title =        "{R} Package {{\tt distrMod}}: {S4} Classes and Methods
                 for Probability Models",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "10",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-07; Accepted 2010-04-19",
}

@Article{Kojadinovic:2010:MMD,
  author =       "Ivan Kojadinovic and Jun Yan",
  title =        "Modeling Multivariate Distributions with Continuous
                 Margins Using the {\tt copula} {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "9",
  pages =        "??--??",
  month =        may,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-07-07; Accepted 2010-04-23",
}

@Article{Kuhn:2010:BRB,
  author =       "Max Kuhn",
  title =        "Book Review: {{\booktitle{Lattice: Multivariate Data
                 Visualization With R}} by Deepayan Sarkar}",
  journal =      j-TECHNOMETRICS,
  volume =       "52",
  number =       "3",
  pages =        "363--364",
  month =        aug,
  year =         "2010",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/27867260",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:35 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i27867243;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/27867260",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Lawrence:2010:RGU,
  author =       "Michael Lawrence and Duncan Temple Lang",
  title =        "{RGtk2}: {A} Graphical User Interface Toolkit for
                 {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "8",
  pages =        "??--??",
  month =        dec,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-30; Accepted 2009-09-23",
}

@Article{Leibovici:2010:STM,
  author =       "Didier G. Leibovici",
  title =        "Spatio-Temporal Multiway Data Decomposition Using
                 Principal Tensor Analysis on $k$-Modes: The {R} Package
                 {{\tt PTAk}}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "10",
  pages =        "??--??",
  month =        may,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-05-08; Accepted 2009-08-19",
}

@Article{Leong:2010:BRB,
  author =       "Chee Kian Leong",
  title =        "Book Review: {{\booktitle{R in a Nutshell}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "BR-2",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-08-19; Accepted 2010-08-19",
}

@Article{Liu:2010:ICR,
  author =       "Hai Liu and Kung-Sik Chan",
  title =        "Introducing {COZIGAM}: An {R} Package for
                 Unconstrained and Constrained Zero-Inflated Generalized
                 Additive Model Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "11",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-02-25; Accepted 2009-07-13",
}

@Article{Maindonald:2010:SBRc,
  author =       "John H. Maindonald",
  title =        "Short Book Review: {{\booktitle{Introductory Time
                 Series with R}} by Paul S. P. Cowpertwait, Andrew V.
                 Metcalfe}",
  journal =      j-INT-STAT-REV,
  volume =       "78",
  number =       "3",
  pages =        "452--453",
  month =        dec,
  year =         "2010",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2010.00122_7.x;
                 http://dx.doi.org/10.2307/27919869",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:15 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919854;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919869",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "28 Dec 2010",
}

@Article{Mair:2010:GFM,
  author =       "Patrick Mair and Jan de Leeuw",
  title =        "A General Framework for Multivariate Analysis with
                 Optimal Scaling: The {R} Package {\tt aspect}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "9",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-24; Accepted 2009-11-09",
}

@Article{Merl:2010:ARP,
  author =       "Daniel Merl and Leah R. Johnson and Robert B. Gramacy
                 and Marc Mangel",
  title =        "{\tt amei}: An {R} Package for the Adaptive Management
                 of Epidemiological Interventions",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "6",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-06-22; Accepted 2010-06-24",
}

@Article{Militino:2010:BRB,
  author =       "Ana F. Militino",
  title =        "Book Review: {{\booktitle{Statistics and data with
                 R}}}",
  journal =      j-J-APPL-STAT,
  volume =       "37",
  number =       "2",
  pages =        "357--358",
  month =        feb,
  year =         "2010",
  CODEN =        "????",
  ISSN =         "0266-4763 (print), 1360-0532 (electronic)",
  ISSN-L =       "0266-4763",
  bibdate =      "Wed Aug 25 11:41:57 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/japplstat.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.tandf.co.uk/journals/routledge/02664763.html",
  note =         "See \cite{Cohen:2008:SDR}.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Applied Statistics",
  journal-URL =  "http://www.tandfonline.com/loi/cjas20",
}

@Article{Moreira:2010:DRP,
  author =       "Carla Moreira and Jacobo de U{\~n}a-{\'A}lvarez and
                 Rosa M. Crujeiras",
  title =        "{{\tt DTDA}}: An {R} Package to Analyze Randomly
                 Truncated Data",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "7",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-12-11; Accepted 2010-07-07",
}

@Article{Muggeo:2010:ATE,
  author =       "Vito M. R. Muggeo",
  title =        "Analyzing Temperature Effects on Mortality Within the
                 {R} Environment: The Constrained Segmented Distributed
                 Lag Parameterization",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "12",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-16; Accepted 2009-12-11",
}

@Article{OBrien:2010:SBRd,
  author =       "Carl M. O'Brien",
  title =        "Short Book Review: {{\booktitle{Dynamic Linear Models
                 with R}} by Giovanni Petris, Sonia Petrone, Patrizia
                 Campagnoli}",
  journal =      j-INT-STAT-REV,
  volume =       "78",
  number =       "1",
  pages =        "157--157",
  month =        apr,
  year =         "2010",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2010.00109_26.x;
                 http://dx.doi.org/10.2307/27919824",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:15 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919788;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919824",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "1 Apr 2010",
}

@Article{Olive:2010:BRBb,
  author =       "David J. Olive",
  title =        "Book Review: {{\booktitle{Software for Data Analysis:
                 Programming With R}} by J. M. Chambers}",
  journal =      j-TECHNOMETRICS,
  volume =       "52",
  number =       "2",
  pages =        "261--261",
  month =        may,
  year =         "2010",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/27867236",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:34 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i27867218;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/27867236",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Olive:2010:BRBc,
  author =       "David J. Olive",
  title =        "Book Review: {{\booktitle{Mixed Effects Models and
                 Extensions in Ecology With R}} by A. F. Zuur; E. N.
                 Ieno; N. J. Walker; A. A. Saveliev; G. M. Smith}",
  journal =      j-TECHNOMETRICS,
  volume =       "52",
  number =       "4",
  pages =        "464--465",
  month =        nov,
  year =         "2010",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/40997258",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:37 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40045082;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/40997258",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Ooms:2010:BRB,
  author =       "Jeroen Ooms",
  title =        "Book Review: {{\booktitle{SAS and R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "BR-3",
  pages =        "??--??",
  month =        dec,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-01-03; Accepted 2011-01-03",
}

@Article{Pateiro-Lopez:2010:GCH,
  author =       "Beatriz Pateiro-L{\'o}pez and Alberto
                 Rodr{\'\i}guez-Casal",
  title =        "Generalizing the Convex Hull of a Sample: The {R}
                 Package {\tt alphahull}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "5",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-03; Accepted 2009-07-07",
}

@Article{Petris:2010:RPD,
  author =       "Giovanni Petris",
  title =        "An {R} Package for Dynamic Linear Models",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "12",
  pages =        "??--??",
  month =        oct,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-20; Accepted 2010-03-05",
}

@Article{Phillips:2010:CSR,
  author =       "Kem Phillips",
  title =        "Code Snippet: {R} Functions to Symbolically Compute
                 the Central Moments of the Multivariate Normal
                 Distribution",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "CS-1",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-05-21; Accepted 2009-11-20",
}

@Article{Piras:2010:SSM,
  author =       "Gianfranco Piras",
  title =        "{\tt sphet}: Spatial Models with Heteroskedastic
                 Innovations in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "1",
  pages =        "??--??",
  month =        jun,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-10-26; Accepted 2010-03-31",
}

@Article{Qian:2010:BRBa,
  author =       "Lianfen Qian",
  title =        "Book Review: {{\booktitle{Time Series Analysis With
                 Applications in R}} (2nd ed.) by Jonathan D. Cryer;
                 Kung-Sik Chan}",
  journal =      j-TECHNOMETRICS,
  volume =       "52",
  number =       "3",
  pages =        "365--365",
  month =        aug,
  year =         "2010",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/27867262",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:35 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i27867243;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/27867262",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Recchia:2010:CSR,
  author =       "Anthony Recchia",
  title =        "Code Snippet: {R}-Squared Measures for Two-Level
                 Hierarchical Linear Models Using {SAS}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "CS-2",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/c02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-07-02; Accepted 2009-12-17",
}

@Article{Rizopoulos:2010:JRP,
  author =       "Dimitris Rizopoulos",
  title =        "{{\tt JM}}: An {R} Package for the Joint Modelling of
                 Longitudinal and Time-to-Event Data",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "9",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-31; Accepted 2010-07-07",
}

@Book{Robert:2010:IMC,
  author =       "Christian P. Robert and George Casella",
  title =        "Introducing {Monte Carlo} methods with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xix + 283",
  year =         "2010",
  DOI =          "http://dx.doi.org/10.1007/978-1-4419-1576-4",
  ISBN =         "1-4419-1576-1 (paperback), 1-4419-1575-3 (paperback)",
  ISBN-13 =      "978-1-4419-1576-4 (paperback), 978-1-4419-1575-7
                 (paperback)",
  LCCN =         "QA298 .R63 2010; QA298; Internet; QA298 .R63 2010eb",
  bibdate =      "Wed Apr 21 17:03:42 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 melvyl.cdlib.org:210/CDL90",
  series =       "Use R!",
  acknowledgement = ack-nhfb,
  subject =      "Monte Carlo method; computer programs; mathematical
                 statistics; data processing; R (computer program
                 language); Markov processes",
}

@Book{Rosenbaum:2010:DOS,
  author =       "Paul R. Rosenbaum",
  title =        "Design of Observational Studies",
  volume =       "??",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xviii + 384",
  year =         "2010",
  CODEN =        "????",
  DOI =          "http://dx.doi.org/10.1007/978-1-4419-1213-8",
  ISBN =         "1-4419-1212-6 (hardcover), 1-4419-1213-4 (e-book)",
  ISBN-13 =      "978-1-4419-1212-1 (hardcover), 978-1-4419-1213-8
                 (e-book)",
  ISSN =         "0172-7397",
  ISSN-L =       "0172-7397",
  LCCN =         "QA279.R669 2010",
  bibdate =      "Thu Jun 19 06:41:21 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/probstat2010.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Springer Series in Statistics",
  URL =          "http://link.springer.com/book/10.1007/978-1-4419-1213-8",
  acknowledgement = ack-nhfb,
  remark =       "Most volumes in this series are unnumbered.",
  series-URL =   "http://link.springer.com/bookseries/692",
  subject =      "Analysis of variance; Experimental design;
                 Mathematics",
  tableofcontents = "Part I Beginnings \\
                 1 Dilemmas and Craftsmanship \\
                 2 Causal Inference in Randomized Experiments \\
                 3 Two Simple Models for Observational Studies \\
                 4 Competing Theories Structure Design \\
                 5 Opportunities, Devices, and Instruments \\
                 6 Transparency \\
                 Part II Matching \\
                 7 A Matched Observational Study \\
                 8 Basic Tools of Multivariate Matching \\
                 9 Various Practical Issues in Matching \\
                 10 Fine Balance \\
                 11 Matching Without Groups \\
                 12 Risk-Set Matching \\
                 13 Matching in R \\
                 Part III Design Sensitivity \\
                 14 The Power of a Sensitivity Analysis and Its Limit
                 \\
                 15 Heterogeneity and Causality \\
                 16 Uncommon but Dramatic Responses to Treatment \\
                 17 Anticipated Patterns of Response \\
                 Part IV Planning Analysis \\
                 18 After Matching, Before Analysis \\
                 19 Planning the Analysis \\
                 Summary: Key Elements of Design \\
                 Solutions to Common Problems \\
                 References \\
                 Symbols \\
                 Acronyms \\
                 Glossary of Statistical Terms \\
                 Some Books \\
                 References \\
                 Suggested Readings for a Course \\
                 References \\
                 Index",
}

@Article{Rosenblad:2010:SBRa,
  author =       "Andreas Rosenblad",
  title =        "Short Book Review: {{\booktitle{Permutation Tests for
                 Stochastic Ordering and ANOVA: Theory and Applications
                 with R}} by Dario Basso, Fortunato Pesarin, Luigi
                 Salmaso, Aldo Solari}",
  journal =      j-INT-STAT-REV,
  volume =       "78",
  number =       "3",
  pages =        "446--446",
  month =        dec,
  year =         "2010",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2010.00122_2.x;
                 http://dx.doi.org/10.2307/27919864",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:15 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919854;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919864",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "28 Dec 2010",
}

@Article{Sanchez:2010:BRBa,
  author =       "Juana Sanchez",
  title =        "Book Review: {{\booktitle{Introductory Time Series
                 with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "BR-4",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/b04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-11; Accepted 2010-01-11",
}

@Article{Sanchez:2010:BRBb,
  author =       "Juana Sanchez",
  title =        "Book Review: {{\booktitle{Data Analysis and Graphics
                 Using R -- An Example-Based Approach (3rd Edition)}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "BR-6",
  pages =        "??--??",
  month =        sep,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/b06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-09-21; Accepted 2010-09-21",
}

@Article{Sauter:2010:BRB,
  author =       "Roger M. Sauter",
  title =        "Book Review: {{\booktitle{Data Manipulation With R}}
                 (1st ed.) by Phil Spector}",
  journal =      j-TECHNOMETRICS,
  volume =       "52",
  number =       "3",
  pages =        "365--365",
  month =        aug,
  year =         "2010",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/27867263",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:21:35 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i27867243;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/27867263",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Scott:2010:SBRa,
  author =       "David J. Scott",
  title =        "Short Book Review: {{\booktitle{R Through Excel: A
                 Spreadsheet Interface for Statistics, Data Analysis,
                 and Graphics}} by Richard M. Heiberger, Erich
                 Neuwirth}",
  journal =      j-INT-STAT-REV,
  volume =       "78",
  number =       "2",
  pages =        "324--324",
  month =        aug,
  year =         "2010",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2010.00118_10.x;
                 http://dx.doi.org/10.2307/27919849",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:15 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919828;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919849",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "3 Aug 2010",
}

@Article{Scott:2010:SBRb,
  author =       "David Scott",
  title =        "Short Book Review: {{\booktitle{Introducing Monte
                 Carlo Methods with R}} by Christian P. Robert, George
                 Casella}",
  journal =      j-INT-STAT-REV,
  volume =       "78",
  number =       "3",
  pages =        "476--477",
  month =        dec,
  year =         "2010",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2010.00122_29.x;
                 http://dx.doi.org/10.2307/27919891",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:15 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i27919854;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/27919891",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "28 Dec 2010",
}

@Article{Scutari:2010:LBN,
  author =       "Marco Scutari",
  title =        "Learning {Bayesian} Networks with the {\tt bnlearn}
                 {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "3",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-30; Accepted 2010-05-13",
}

@Article{Soetaert:2010:BRB,
  author =       "Karline Soetaert",
  title =        "Book Review: {{\booktitle{A Primer of Ecology with
                 R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "BR-3",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-06; Accepted 2010-01-06",
}

@Article{Soetaert:2010:IMS,
  author =       "Karline Soetaert and Thomas Petzoldt",
  title =        "Inverse Modelling, Sensitivity and {Monte Carlo}
                 Analysis in {R} Using Package {{\tt FME}}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "3",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-22; Accepted 2010-01-18",
}

@Article{Soetaert:2010:SDE,
  author =       "Karline Soetaert and Thomas Petzoldt and R. Woodrow
                 Setzer",
  title =        "Solving Differential Equations in {R}: Package {{\tt
                 deSolve}}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "9",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-17; Accepted 2010-02-12",
}

@Article{Strobl:2010:BRB,
  author =       "Carolin Strobl",
  title =        "Book Review: {{\booktitle{Advances in Social Science
                 Research Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "BR-2",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-04-13; Accepted 2010-04-13",
}

@Book{Suess:2010:IPS,
  author =       "Eric A. Suess and Bruce E. Trumbo",
  title =        "Introduction to probability simulation and {Gibbs}
                 sampling with {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xiii + 307",
  year =         "2010",
  DOI =          "http://dx.doi.org/10.1007/978-0-387-68765-0",
  ISBN =         "0-387-40273-X (paperback)",
  ISBN-13 =      "978-0-387-40273-4 (paperback)",
  LCCN =         "QA276.6 .S84 2010",
  bibdate =      "http://www.math.utah.edu/pub/tex/bib/s-plus.bib; Thu
                 Jul 10 10:12:43 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  acknowledgement = ack-nhfb,
  subject =      "Sampling (Statistics); Probabilities; Simulation
                 methods; R (Computer program language)",
  tableofcontents = "Front matter / i--xiii \\
                 Introductory Examples: Simulation, Estimation, and
                 Graphics / 1--22 \\
                 Generating Random Numbers / 23--49 \\
                 Monte Carlo Integration and Limit Theorems / 51--85 \\
                 Sampling from Applied Probability Models / 87--117 \\
                 Screening Tests / 119--138 \\
                 Markov Chains with Two States / 139--158 \\
                 Examples of Markov Chains with Larger State Spaces /
                 159--193 \\
                 Introduction to Bayesian Estimation / 195--218 \\
                 Using Gibbs Samplers to Compute Bayesian Posterior
                 Distributions / 219--248 \\
                 Using WinBUGS for Bayesian Estimation / 249--274 \\
                 Appendix: Getting Started with R / 275--299 \\
                 Back Matter / 301-307",
}

@Article{Unlu:2010:DRP,
  author =       "Ali {\"U}nl{\"u} and Anatol Sargin",
  title =        "{{\tt DAKS}}: An {R} Package for Data Analysis Methods
                 in Knowledge Space Theory",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "2",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-22; Accepted 2010-08-20",
}

@Article{Viechtbauer:2010:CMA,
  author =       "Wolfgang Viechtbauer",
  title =        "Conducting Meta-Analyses in {R} with the {\tt metafor}
                 Package",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "3",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-16; Accepted 2010-06-24",
}

@Article{Visser:2010:DRP,
  author =       "Ingmar Visser and Maarten Speekenbrink",
  title =        "{{\tt depmixS4}}: An {R} Package for Hidden {Markov}
                 Models",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "7",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-19; Accepted 2010-06-21",
}

@Article{Weeks:2010:PRP,
  author =       "Jonathan P. Weeks",
  title =        "{\tt plink}: An {R} Package for Linking Mixed-Format
                 Tests Using {IRT}-Based Methods",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "12",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-30; Accepted 2010-05-10",
}

@Article{Wickham:2010:BRB,
  author =       "Hadley Wickham and Garrett Grolemund",
  title =        "Book Review: {{\booktitle{Graphics for Statistics and
                 Data Analysis with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "BR-3",
  pages =        "??--??",
  month =        sep,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-09-01; Accepted 2010-09-01",
}

@Article{Xia:2010:CSP,
  author =       "Xiao-Qin Xia and Michael McClelland and Yipeng Wang",
  title =        "Code Snippet: {{\tt PypeR}}, {A} {Python} Package for
                 Using {R} in {Python}",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "CS-2",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/python.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/c02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-10-23; Accepted 2010-03-23",
}

@Article{Yalta:2010:BRB,
  author =       "A. Talha Yalta",
  title =        "Book Review: {{\booktitle{Hands-On Intermediate
                 Econometrics Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "BR-1",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-26; Accepted 2010-01-26",
}

@Article{Young:2010:TRP,
  author =       "Derek S. Young",
  title =        "{\tt tolerance}: An {R} Package for Estimating
                 Tolerance Intervals",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "5",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-07-01; Accepted 2010-06-24",
}

@Article{Zang:2010:SAC,
  author =       "Yong Zang and Wing Kam Fung and Gang Zheng",
  title =        "Simple Algorithms to Calculate Asymptotic Null
                 Distributions of Robust Tests in Case-Control Genetic
                 Association Studies in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "8",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-05-05; Accepted 2009-11-10",
}

@Article{Zeileis:2010:EMF,
  author =       "Achim Zeileis and Yves Croissant",
  title =        "Extended Model Formulas in {R}: Multiple Parts and
                 Multiple Responses",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "1",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-23; Accepted 2010-03-23",
}

@Article{Abadie:2011:SRP,
  author =       "Alberto Abadie and Alexis Diamond and Jens
                 Hainmueller",
  title =        "{Synth}: An {R} Package for Synthetic Control Methods
                 in Comparative Case Studies",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "13",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i13",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-01; Accepted 2007-12-17",
}

@Book{Allerhand:2011:THR,
  author =       "Mike Allerhand",
  title =        "A tiny handbook on {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "ix + 83",
  year =         "2011",
  ISBN =         "3-642-17979-7, 3-642-17980-0",
  ISBN-13 =      "978-3-642-17979-2, 978-3-642-17980-8",
  LCCN =         "QA276.45.R3 A45 2011",
  bibdate =      "Thu Jul 10 13:32:58 MDT 2014",
  bibsource =    "fsz3950.oclc.org:210/WorldCat;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "SpringerBriefs in statistics",
  URL =          "http://d-nb.info/1008556300/04;
                 http://link.springer.com/openurl?genre=book&isbn=978-3-642-17979-2",
  acknowledgement = ack-nhfb,
  subject =      "R (Programm); Statistik; R",
}

@Article{Bailey:2011:BRB,
  author =       "Mark Bailey",
  title =        "Book Review: {{\booktitle{A Beginner's Guide to R}} by
                 Alain F. Zuur; Elena N. Ieno; Erik H. W. G. Meesters}",
  journal =      j-TECHNOMETRICS,
  volume =       "53",
  number =       "1",
  pages =        "105--105",
  month =        feb,
  year =         "2011",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/40997308",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:45:55 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40045084;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/40997308",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Bailey:2011:CSI,
  author =       "Delia Bailey and Jonathan N. Katz",
  title =        "Code Snippet: Implementing Panel-Corrected Standard
                 Errors in {R}: The {{\tt pcse}} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "CS-1",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-22; Accepted 2007-10-16",
}

@Article{Bordier:2011:TSI,
  author =       "C{\'e}cile Bordier and Michel Dojat and Pierre Lafaye
                 de Micheaux",
  title =        "Temporal and Spatial Independent Component Analysis
                 for {fMRI} Data Sets Embedded in the {AnalyzeFMRI} {R}
                 Package",
  journal =      j-J-STAT-SOFT,
  volume =       "44",
  number =       "9",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:24 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v44/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-10-29; Accepted 2011-06-16",
}

@Book{Bretz:2011:MCU,
  author =       "Frank Bretz and Torsten Hothorn and Peter H.
                 Westfall",
  title =        "Multiple comparisons using {R}",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "xvii + 187",
  year =         "2011",
  ISBN =         "1-58488-574-2 (hardcover)",
  ISBN-13 =      "978-1-58488-574-0 (hardcover)",
  LCCN =         "QA278.4 .B74 2011",
  bibdate =      "Thu Jul 10 10:01:41 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  abstract =     "Adopting a unifying theme based on maximum statistics,
                 Multiple Comparisons Using R describes the common
                 underlying theory of multiple comparison procedures
                 through numerous examples. After giving examples of
                 multiplicity problems, the book covers general concepts
                 and basic multiple comparisons procedures, including
                 the Bonferroni method and Simes' test. It then shows
                 how to perform parametric multiple comparisons in
                 standard linear models and general parametric models.
                 It also introduces the multcomp package in R, which
                 offers a convenient interface to perform multiple
                 comparisons in a general context. Following this
                 theoretical framework, the book explores applications
                 involving the Dunnett test, Tukey's all pairwise
                 comparisons, and general multiple contrast tests for
                 standard regression models, mixed-effects models, and
                 parametric survival models. The last chapter reviews
                 other multiple comparison procedures, such as
                 resampling-based procedures, methods for group
                 sequential or adaptive designs, and the combination of
                 multiple comparison procedures with modeling
                 techniques. Controlling multiplicity in experiments
                 ensures better decision making and safeguards against
                 false claims. A self-contained introduction to multiple
                 comparison procedures, this book offers strategies for
                 constructing the procedures and illustrates the
                 framework for multiple hypotheses testing in general
                 parametric models. It is suitable for readers with R
                 experience but limited knowledge of multiple comparison
                 procedures and vice versa.",
  acknowledgement = ack-nhfb,
  subject =      "Multiple comparisons (Statistics); R (Computer program
                 language)",
  tableofcontents = "Introduction \\
                 General concepts \\
                 Multiple comparisons in parametric models \\
                 Applications \\
                 Further topics",
}

@Article{Burr:2011:BRBa,
  author =       "Tom Burr and Claire Longo",
  title =        "Book Review: {{\booktitle{Wavelet Methods in
                 Statistics With R}} by G. P. Nason}",
  journal =      j-TECHNOMETRICS,
  volume =       "53",
  number =       "2",
  pages =        "212--213",
  month =        may,
  year =         "2011",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/23209736",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:45:56 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i23209715;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/23209736",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Carstensen:2011:ULO,
  author =       "Bendix Carstensen and Martyn Plummer",
  title =        "Using {Lexis} Objects for Multi-State Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "6",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v38/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-02-09; Accepted 2010-09-16",
}

@Article{Causeur:2011:FAM,
  author =       "David Causeur and Chloe Friguet and Magalie
                 Houee-Bigot and Maela Kloareg",
  title =        "Factor Analysis for Multiple Testing ({FAMT}): An {R}
                 Package for Large-Scale Significance Testing under
                 Dependence",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "14",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i14",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-09; Accepted 2011-04-01",
}

@Book{Chen:2011:CTD,
  author =       "Ding-Geng Chen and Karl E. Peace",
  title =        "Clinical trial data analysis using {R}",
  publisher =    "CRC Press",
  address =      "Boca Raton, Florida",
  pages =        "xxiii + 363",
  year =         "2011",
  ISBN =         "1-4398-4020-2 (hardcover), 1-4398-4021-0 (e-book)",
  ISBN-13 =      "978-1-4398-4020-7 (hardcover), 978-1-4398-4021-4
                 (e-book)",
  LCCN =         "R853.C55 C44 2011",
  bibdate =      "Thu Jul 10 12:11:49 MDT 2014",
  bibsource =    "fsz3950.oclc.org:210/WorldCat;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Chapman and Hall/CRC biostatistics series",
  abstract =     "With examples based on the authors' 30 years of
                 real-world experience in many areas of clinical drug
                 development, this book provides a thorough presentation
                 of clinical trial methodology. It presents detailed
                 step-by-step illustrations on the implementation of the
                 open-source software R. Case studies demonstrate how to
                 select the appropriate clinical trial data. The authors
                 introduce the corresponding biostatistical analysis
                 methods, followed by the step-by-step data analysis
                 using R. They also offer the R program for download,
                 along with other essential data, on their website.",
  acknowledgement = ack-nhfb,
  subject =      "Clinical trials; Statistical methods; R (Computer
                 program language); Clinical Trials as Topic; methods;
                 Software; Statistics as Topic; Statistical methods.; R
                 (Computer program language)",
  tableofcontents = "1. Introduction to R \\
                 2. Overview of clinical trials \\
                 3. Treatment comparisons in clinical trials \\
                 4. Treatment comparisons in clinical trials with
                 covariates \\
                 5. Analysis of clinical trials with time-to-event
                 endpoints \\
                 6. Analysis of data from longitudinal clinical trials
                 \\
                 7. Sample size determination and power calculation in
                 clinical trials \\
                 8. Meta-analysis of clinical trials \\
                 9. Bayesian analysis methods in clinical trials \\
                 10. Analysis of bioequivalence clinical trials \\
                 11. Analysis of adverse events in clinical trials \\
                 12. Analysis of DNA microarrays in clinical trials",
}

@Article{Chernick:2011:BRBc,
  author =       "Michael R. Chernick",
  title =        "Book Review: {{\booktitle{Multiple Comparisons Using
                 R}} by Frank Bretz; Torsten Hothorn; Peter Westfall}",
  journal =      j-TECHNOMETRICS,
  volume =       "53",
  number =       "3",
  pages =        "327--328",
  month =        aug,
  year =         "2011",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/23210417",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:45:57 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i23209789;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/23210417",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Book{Chernick:2011:IBM,
  author =       "Michael R. Chernick and Robert A. LaBudde",
  title =        "An introduction to bootstrap methods with applications
                 to {R}",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "xvii + 216",
  year =         "2011",
  ISBN =         "0-470-46704-5 (hardcover)",
  ISBN-13 =      "978-0-470-46704-6 (hardcover)",
  LCCN =         "QA276.8 .C478 2011",
  bibdate =      "Thu Jul 10 13:04:38 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  abstract =     "This book provides both an elementary and a modern
                 introduction to the bootstrap for students who do not
                 have an extensive background in advanced mathematics.
                 It offers reliable, hands-on coverage of the
                 bootstrap's considerable advantages -- as well as its
                 drawbacks. The book outpaces the competition by
                 skillfully presenting results on improved confidence
                 set estimation, estimation of error rates in
                 discriminant analysis, and applications to a wide
                 variety of hypothesis testing and estimation problems.
                 To alert readers to the limitations of the method, the
                 book exhibits counterexamples to the consistency of
                 bootstrap methods. The authors take great care to draw
                 connections between the more traditional resampling
                 methods and the bootstrap, oftentimes displaying
                 helpful computer routines in R. Emphasis throughout the
                 book is on the use of the bootstrap as an exploratory
                 tool including its value in variable selection and
                 other modeling environments.",
  acknowledgement = ack-nhfb,
  subject =      "Bootstrap (Statistics); R (Computer program
                 language)",
}

@Book{Chihara:2011:MSR,
  author =       "Laura Chihara and Tim Hesterberg",
  title =        "Mathematical statistics with resampling and {R}",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "xiv + 418",
  year =         "2011",
  ISBN =         "1-118-02985-2 (hardcover)",
  ISBN-13 =      "978-1-118-02985-5 (hardcover)",
  LCCN =         "QA278.8 .C45 2011",
  bibdate =      "Thu Jul 10 12:53:08 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  abstract =     "Resampling helps students understand the meaning of
                 sampling distributions, sampling variability, P-values,
                 hypothesis tests, and confidence intervals. This
                 groundbreaking book shows how to apply modern
                 resampling techniques to mathematical statistics.
                 Extensively class-tested to ensure an accessible
                 presentation, Mathematical Statistics with Resampling
                 and R utilizes the powerful and flexible computer
                 language R to underscore the significance and benefits
                 of modern resampling techniques. The book begins by
                 introducing permutation tests and bootstrap methods,
                 motivating classical inference methods. Striking a
                 balance between theory, computing, and applications,
                 the authors explore additional topics such as:.
                 Calculation of sampling distributions. The Central
                 Limit Theorem. Maximum likelihood estimation and
                 properties of estimators. Confidence intervals and
                 hypothesis tests. Throughout the book, case studies on
                 diverse subjects such as flight delays, birth weights
                 of babies, and telephone company repair times
                 illustrate the relevance of the real-world applications
                 of the discussed material. Key definitions and theorems
                 of important probability distributions are collected at
                 the end of the book, and a related website is also
                 available, featuring additional material including data
                 sets, R scripts, and helpful teaching hints.
                 Mathematical Statistics with Resampling and R is an
                 excellent book for courses on mathematical statistics
                 at the upper-undergraduate and graduate levels. It also
                 serves as a valuable reference for applied
                 statisticians working in the areas of business,
                 economics, biostatistics, and public health who utilize
                 resampling methods in their everyday work.",
  acknowledgement = ack-nhfb,
  author-dates = "1957--",
  subject =      "Resampling (Statistics); Statistics",
}

@Article{Childs:2011:MFS,
  author =       "Aaron Childs and Yalin Chen",
  title =        "Multilevel Fixed and Sequential Acceptance Sampling:
                 The {R} Package {MFSAS}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "6",
  pages =        "??--??",
  month =        jul,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-06-04; Accepted 2011-06-29",
}

@Article{Choi:2011:LRP,
  author =       "Seung W. Choi and Laura E. Gibbons and Paul K. Crane",
  title =        "{{\tt lordif}}: An {R} Package for Detecting
                 Differential Item Functioning Using Iterative Hybrid
                 Ordinal Logistic Regression\slash Item Response Theory
                 and {Monte Carlo} Simulations",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "8",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-02-02; Accepted 2010-10-23",
}

@Article{Clayden:2011:TMR,
  author =       "Jonathan D. Clayden and Susana Mu{\~n}oz Maniega and
                 Amos J. Storkey and Martin D. King and Mark E. Bastin
                 and Chris A. Clark",
  title =        "{TractoR}: Magnetic Resonance Imaging and Tractography
                 with {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "44",
  number =       "8",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:24 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v44/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-10-28; Accepted 2011-06-02",
}

@Article{Cook:2011:BRB,
  author =       "Dianne Cook and Heike Hofmann",
  title =        "Book Review: {{\booktitle{R Graphics}} (2nd
                 Edition)}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "BR-3",
  pages =        "??--??",
  month =        sep,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-09-13; Accepted 2011-09-13",
}

@Book{Cryer:2011:SJX,
  author =       "Jonathan D. Cryer and Kung-Sik Chan and Hongyu Pan and
                 others",
  title =        "Shi jian xu lie fen xi ji ying yong: {R} yu yan =
                 {Time} series analysis with applications in {R}",
  publisher =    "Ji xie gong ye chu ban she",
  address =      "Beijing, China",
  pages =        "350",
  year =         "2011",
  ISBN =         "7-111-32572-9",
  ISBN-13 =      "978-7-111-32572-7",
  LCCN =         "????",
  bibdate =      "Thu Jul 10 09:43:31 MDT 2014",
  bibsource =    "fsz3950.oclc.org:210/WorldCat;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Hua zhang shu xue yi cong",
  acknowledgement = ack-nhfb,
  remark =       "500 $ 6 880 - 03 $ a Ju yuan shu di 2 ban yi chu.",
  subject =      "Time-series analysis; Data processing; R (Computer
                 program language)",
}

@Article{Culp:2011:SSS,
  author =       "Mark Culp",
  title =        "{{\tt spa}}: Semi-Supervised Semi-Parametric
                 Graph-Based Estimation in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "10",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-23; Accepted 2010-01-11",
}

@Article{Davies:2011:SAS,
  author =       "Tilman M. Davies and Martin L. Hazelton and Jonathan
                 C. Marshall",
  title =        "{{\tt sparr}}: Analyzing Spatial Relative Risk Using
                 Fixed and Adaptive Kernel Density Estimation in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "1",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-05-02; Accepted 2010-08-10",
}

@Article{DeBoeck:2011:EIR,
  author =       "Paul {De Boeck} and Marjan Bakker and Robert Zwitser
                 and Michel Nivard and Abe Hofman and Francis Tuerlinckx
                 and Ivailo Partchev",
  title =        "The Estimation of Item Response Models with the {{\tt
                 lmer}} Function from the {{\tt lme4}} Package in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "12",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-01; Accepted 2010-12-13",
}

@Article{deWreede:2011:MRP,
  author =       "Liesbeth C. de Wreede and Marta Fiocco and Hein
                 Putter",
  title =        "{{\tt mstate}}: An {R} Package for the Analysis of
                 Competing Risks and Multi-State Models",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "7",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v38/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-17; Accepted 2010-08-20",
}

@Article{Eckley:2011:LIL,
  author =       "Idris A. Eckley and Guy P. Nason",
  title =        "{LS2W}: Implementing the Locally Stationary {$2$D}
                 Wavelet Process Approach in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "3",
  pages =        "??--??",
  month =        jul,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-11-30; Accepted 2011-06-14",
}

@Article{Eddelbuettel:2011:BRB,
  author =       "Dirk Eddelbuettel",
  title =        "Book Review: {{\booktitle{R in a Nutshell}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "BR-1",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-04-04; Accepted 2011-04-04",
}

@Article{Eddelbuettel:2011:RSR,
  author =       "Dirk Eddelbuettel and Romain Fran{\c{c}}ois",
  title =        "{{\tt Rcpp}}: Seamless {R} and {C++} Integration",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "8",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-11-15; Accepted 2011-03-21",
}

@Article{Evans:2011:BRB,
  author =       "Gary Evans",
  title =        "Book Review: {{\booktitle{Exploratory Multivariate
                 Analysis by Example Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "BR-2",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-04-20; Accepted 2011-04-20",
}

@Book{Everitt:2011:IAM,
  author =       "Brian Everitt and Torsten Hothorn",
  title =        "An introduction to applied multivariate analysis with
                 {R}",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xiv + 273",
  year =         "2011",
  ISBN =         "1-4419-9649-4, 1-4419-9650-8",
  ISBN-13 =      "978-1-4419-9649-7, 978-1-4419-9650-3",
  LCCN =         "QA278 .E87 2011",
  bibdate =      "Thu Jul 10 12:54:57 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  URL =          "http://www.loc.gov/catdir/enhancements/fy1304/2011926793-b.html;
                 http://www.loc.gov/catdir/enhancements/fy1304/2011926793-d.html;
                 http://www.loc.gov/catdir/enhancements/fy1304/2011926793-t.html",
  abstract =     "The majority of data sets collected by researchers in
                 all disciplines are multivariate, meaning that several
                 measurements, observations, or recordings are taken on
                 each of the units in the data set. These units might be
                 human subjects, archaeological artifacts, countries, or
                 a vast variety of other things. In a few cases, it may
                 be sensible to isolate each variable and study it
                 separately, but in most instances all the variables
                 need to be examined simultaneously in order to fully
                 grasp the structure and key features of the data. For
                 this purpose, one or another method of multivariate
                 analysis might be helpful, and it is with such methods
                 that this book is largely concerned. Multivariate
                 analysis includes methods both for describing and
                 exploring such data and for making formal inferences
                 about them. The aim of all the techniques is, in
                 general sense, to display or extract the signal in the
                 data in the presence of noise and to find out what the
                 data show us in the midst of their apparent chaos. An
                 Introduction to Applied Multivariate Analysis with R
                 explores the correct application of these methods so as
                 to extract as much information as possible from the
                 data at hand, particularly as some type of graphical
                 representation, via the R software. Throughout the
                 book, the authors give many examples of R code used to
                 apply the multivariate techniques to multivariate
                 data.",
  acknowledgement = ack-nhfb,
  subject =      "Multivariate analysis; Data processing; R (Computer
                 program language); Multivariate Analyse.; R
                 (Programm)",
  tableofcontents = "Multivariate data and multivariate analysis \\
                 Looking at multivariate data: visualisation \\
                 Principal components analysis \\
                 Multidimensional scaling \\
                 Exploratory factor analysis \\
                 Cluster analysis \\
                 Confirmatory factor analysis and structural equation
                 models \\
                 The analysis of repeated measures data",
}

@Article{Ferl:2011:DRP,
  author =       "Gregory Z. Ferl",
  title =        "{DATforDCEMRI}: An {R} Package for Deconvolution
                 Analysis and Visualization of {DCE-MRI} Data",
  journal =      j-J-STAT-SOFT,
  volume =       "44",
  number =       "3",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:24 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v44/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-10-11; Accepted 2011-06-22",
}

@Article{Fiske:2011:URP,
  author =       "Ian Fiske and Richard Chandler",
  title =        "{\tt unmarked}: An {R} Package for Fitting
                 Hierarchical Models of Wildlife Occurrence and
                 Abundance",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "10",
  pages =        "??--??",
  month =        aug,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-05-06; Accepted 2011-07-29",
}

@Article{Gabadinho:2011:AVS,
  author =       "Alexis Gabadinho and Gilbert Ritschard and Nicolas S.
                 M{\"u}ller and Matthias Studer",
  title =        "Analyzing and Visualizing State Sequences in {R} with
                 {{\tt TraMineR}}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "4",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-12; Accepted 2011-01-03",
}

@Article{Gasparrini:2011:DLL,
  author =       "Antonio Gasparrini",
  title =        "Distributed Lag Linear and Non-Linear Models in {R}:
                 The Package {\tt dlnm}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "8",
  pages =        "??--??",
  month =        jul,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-06-03; Accepted 2011-07-13",
}

@Article{Goitisolo:2011:SAP,
  author =       "Beatriz Goitisolo and Amaya Z{\'a}rraga",
  title =        "Simultaneous Analysis in {S-PLUS}: The {{\tt
                 SimultAn}} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "11",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-22; Accepted 2011-04-13",
}

@Article{Goldstein:2011:BSU,
  author =       "Richard Goldstein",
  title =        "{{\booktitle{R for Stata Users}} by Robert A.
                 Muenchen; Joseph M. Hilbe}",
  journal =      j-TECHNOMETRICS,
  volume =       "53",
  number =       "4",
  pages =        "442--442",
  month =        nov,
  year =         "2011",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/41714959",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:45:58 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40080565;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/41714959",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Goslee:2011:ARS,
  author =       "Sarah C. Goslee",
  title =        "Analyzing Remote Sensing Data in {R}: The {\tt
                 landsat} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "4",
  pages =        "??--??",
  month =        jul,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-09-29; Accepted 2011-06-16",
}

@Article{Gromping:2011:BRB,
  author =       "Ulrike Gr{\"o}mping",
  title =        "Book Review: {{\booktitle{Optimal Experimental Design
                 with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "BR-5",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/b05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-10-17; Accepted 2011-10-17",
}

@Article{Grun:2011:TRP,
  author =       "Bettina Gr{\"u}n and Kurt Hornik",
  title =        "{{\tt topicmodels}}: An {R} Package for Fitting Topic
                 Models",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "13",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i13",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-09-23; Accepted 2011-04-26",
}

@Article{Haneuse:2011:ORP,
  author =       "Sebastien Haneuse and Takumi Saegusa and Thomas
                 Lumley",
  title =        "{{\tt osDesign}}: An {R} Package for the Analysis,
                 Evaluation, and Design of Two-Phase and Case-Control
                 Studies",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "11",
  pages =        "??--??",
  month =        aug,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-05-10; Accepted 2011-07-29",
}

@Article{Hofert:2011:NAC,
  author =       "Marius Hofert and Martin Maechler",
  title =        "Nested {Archimedean} Copulas Meet {R}: The {{\tt
                 nacopula}} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "9",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-01; Accepted 2010-11-15",
}

@Article{Hoffmann:2011:CSP,
  author =       "Thomas J. Hoffmann",
  title =        "Code Snippet: Passing in Command Line Arguments and
                 Parallel Cluster\slash Multicore Batching in {R} with
                 {{\tt batch}}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "CS-1",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-12-16; Accepted 2010-08-09",
}

@Book{Horton:2011:URD,
  author =       "Nicholas J. Horton and Ken Kleinman",
  title =        "Using {R} for data management, statistical analysis,
                 and graphics",
  publisher =    "CRC Press",
  address =      "Boca Raton",
  pages =        "xxii + 275",
  year =         "2011",
  DOI =          "http://dx.doi.org/10.1201/9781439827567",
  ISBN =         "1-4398-2755-9 (paperback)",
  ISBN-13 =      "978-1-4398-2755-0 (paperback)",
  LCCN =         "QA76.73.R3 H67 2011",
  MRclass =      "68-00 68U05 68N15",
  bibdate =      "Thu Jul 10 11:55:49 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  abstract =     "\booktitle{Using R for Data Management, Statistical
                 Analysis, and Graphics} presents an easy way to learn
                 how to perform an analytical task in R, without having
                 to navigate through the extensive, idiosyncratic, and
                 sometimes unwieldly software documentation and vast
                 number of add-on packages. Organized by short, clear
                 descriptive entries, the book covers many common tasks,
                 such as data management, descriptive summaries,
                 inferential procedures, regression analysis,
                 multivariate methods, and the creation of graphics.
                 Through the extensive indexing, cross-referencing, and
                 worked examples in this text, users can directly find
                 and implement the material they need. The text includes
                 convenient indices organized by topic and R syntax.
                 Demonstrating the R code in action and facilitating
                 exploration, the authors present example analyses that
                 employ a single dataset from the HELP study. They also
                 provides several case studies of more complex
                 applications. Datasets and code are available for
                 download on the book's Web site. Helping to improve
                 your analytical skills, this book lucidly summarizes
                 the aspects of R most often used by statistical
                 analysts. New users of R will find the simple approach
                 easy to understand while more sophisticated users will
                 appreciate the invaluable source of task-oriented
                 information.",
  acknowledgement = ack-nhfb,
  subject =      "R (Computer program language); Open source software;
                 Database management; Mathematical statistics; Data
                 processing",
}

@Article{Howard:2011:BRB,
  author =       "James P. Howard",
  title =        "Book Review: {{\booktitle{R Cookbook}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "BR-3",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-04-27; Accepted 2011-04-27",
}

@Book{Husson:2011:EMA,
  author =       "Fran{\c{c}}ois Husson and S{\'e}bastien L{\^e} and
                 J{\'e}r{\^o}me Pag{\`e}s",
  title =        "Exploratory multivariate analysis by example using
                 {R}",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "xii + 228",
  year =         "2011",
  ISBN =         "1-4398-3580-2 (hardcover)",
  ISBN-13 =      "978-1-4398-3580-7 (hardcover)",
  LCCN =         "QA278 .H87 2011",
  bibdate =      "Thu Jul 10 10:03:00 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Chapman and Hall/CRC computer science and data
                 analysis",
  abstract =     "An introduction to exploratory techniques for
                 multivariate data analysis, this book covers the key
                 methodology, including principal components analysis,
                 correspondence analysis, mixed models and multiple
                 factor analysis. The authors take a practical approach,
                 with examples leading the discussion of the methods and
                 lots of graphics to emphasize visualization. They
                 present the concepts in the most intuitive way
                 possible, keeping mathematical content to a minimum or
                 relegating it to the appendices. The book includes
                 examples that use real data from a range of scientific
                 disciplines and implemented using an R package
                 developed by the authors.",
  acknowledgement = ack-nhfb,
  subject =      "Multivariate analysis; R (Computer program language);
                 MATHEMATICS / Probability and Statistics / General",
  tableofcontents = "1. Principal component analysis (PCA) \\
                 2. Correspondence analysis (CA) \\
                 3. Multiple correspondence analysis (MCA) \\
                 4. Clustering",
}

@Article{Imai:2011:ERP,
  author =       "Kosuke Imai and Ying Lu and Aaron Strauss",
  title =        "{{\tt eco}}: {R} Package for Ecological Inference in $
                 2 \times 2 $ Tables",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "5",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-06; Accepted 2007-06-18",
}

@Article{Jackson:2011:MSM,
  author =       "Christopher Jackson",
  title =        "Multi-State Models for Panel Data: The {{\tt msm}}
                 Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "8",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v38/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-07-21; Accepted 2010-08-18",
}

@Article{Jara:2011:DBS,
  author =       "Alejandro Jara and Timothy Hanson and Fernando A.
                 Quintana and Peter M{\"u}ller and Gary L. Rosner",
  title =        "{{\tt DPpackage}}: {Bayesian} Semi- and Nonparametric
                 Modeling in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "5",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-10-28; Accepted 2010-12-27",
}

@Book{Kabacoff:2011:RAD,
  author =       "Robert Kabacoff",
  title =        "{R} in action: data analysis and graphics with {R}",
  publisher =    pub-MANNING,
  address =      pub-MANNING:adr,
  pages =        "xxiv + 447",
  year =         "2011",
  ISBN =         "1-935182-39-0 (paperback)",
  ISBN-13 =      "978-1-935182-39-9 (paperback)",
  LCCN =         "QA276.45.R3 K33 2011",
  bibdate =      "Thu Jul 10 12:16:29 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  abstract =     "R in Action is the first book to present both the R
                 system and the use cases that make it such a compelling
                 package for business developers. The book begins by
                 introducing the R language, including the development
                 environment. Focusing on practical solutions, the book
                 also offers a crash course in practical statistics and
                 covers elegant methods for dealing with messy and
                 incomplete data using features of R.",
  acknowledgement = ack-nhfb,
  remark =       "Part I: Getting Started \\
                 1 Introduction To R \\
                 2 Creating a dataset \\
                 3 Getting started with graphs \\
                 4 Basic data management \\
                 5 Advanced data management \\
                 Part II: Basic Methods \\
                 6 Basic graphs \\
                 6.1 Bar plots \\
                 6.2 Pie charts \\
                 6.3 Histograms \\
                 6.4 Kernel density plots \\
                 6.5 Box plots \\
                 6.6 Dot plots \\
                 6.7 Summary \\
                 7 Basic statistics \\
                 7.1 Descriptive statistics \\
                 7.2 Frequency and contingency tables \\
                 7.3 Correlations \\
                 7.4 t-tests \\
                 7.5 Nonparametric tests of group differences \\
                 7.6 Visualizing group differences \\
                 7.7 Summary \\
                 Part III: Intermediate Methods \\
                 8 Regression \\
                 8.1 The many faces of regression \\
                 8.2 OLS regression \\
                 8.3 Regression diagnostics \\
                 8.4 Unusual observations \\
                 8.5 Corrective measures \\
                 8.6 Selecting the ``best'' regression model \\
                 8.7 Taking the analysis further \\
                 8.8 Summary \\
                 9 Analysis of variance \\
                 9.1 A crash course on terminology \\
                 9.2 Fitting ANOVA models \\
                 9.3 One-way ANOVA \\
                 9.4 One-way ANCOVA \\
                 9.5 Two-way factorial ANOVA \\
                 9.6 Repeated measures ANOVA \\
                 9.7 Multivariate analysis of variance (MANOVA) \\
                 9.8 ANOVA as regression \\
                 9.9 Summary \\
                 10 Power analysis \\
                 10.1 A quick review of hypothesis testing \\
                 10.2 Implementing power analysis with the pwr package
                 \\
                 10.3 Creating power analysis plots \\
                 10.4 Other packages \\
                 10.5 Summary \\
                 11 Intermediate graphs \\
                 11.1 Scatter plots \\
                 11.2 Line charts \\
                 11.3 Correlograms \\
                 11.4 Mosaic plots \\
                 11.5 Summary \\
                 12 Resampling statistics and bootstrapping \\
                 12.1 Permutation tests \\
                 12.2 Permutation test with the coin package \\
                 12.3 Permutation tests with the lmPerm package \\
                 12.4 Additional comments on permutation tests \\
                 12.5 Bootstrapping \\
                 12.6 Bootstrapping with the boot package \\
                 12.7 Summary \\
                 Part IV: Advanced Methods \\
                 13 Generalized linear models \\
                 13.1 Generalized linear models and the glm() function
                 \\
                 13.2 Logistic regression \\
                 13.3 Poisson regression \\
                 13.4 Summary \\
                 14 Principal components and factor analysis \\
                 14.1 Principal components and factor analysis in R \\
                 14.2 Principal components \\
                 14.3 Exploratory factor analysis \\
                 14.4 Other latent variable models \\
                 14.5 Summary \\
                 15 Advanced methods for missing data \\
                 15.1 Steps in dealing with missing data \\
                 15.2 Identifying missing values \\
                 15.3 Exploring missing values patterns \\
                 15.4 Understanding the sources and impact of missing
                 data \\
                 15.5 Rational approaches for dealing with incomplete
                 data \\
                 15.6 Complete-case analysis (listwise deletion) \\
                 15.7 Multiple imputation \\
                 15.8 Other approaches to missing data \\
                 15.9 Summary \\
                 16 Advanced graphics \\
                 16.1 The four graphic systems in R \\
                 16.2 The lattice package \\
                 16.3 The ggplot2 package \\
                 16.4 Interactive graphs \\
                 16.5 Summary afterword Into the rabbit hole \\
                 Appendix A: Graphic user interfaces \\
                 Appendix B: Customizing the startup environment \\
                 Appendix C: Exporting data from R \\
                 Appendix D: Creating publication-quality output \\
                 Appendix E: Matrix Algebra in R Appendix F: Packages
                 used in this book \\
                 Appendix G: Working with large datasets \\
                 Appendix H: Updating an R installation index.",
  subject =      "R (Computer program language); Statistics; Data
                 processing; Graphic methods",
  xxaddress =    "Shelter Island, NY",
}

@Book{Karian:2011:HFS,
  author =       "Zaven A. Karian and Edward J. Dudewicz",
  title =        "Handbook of fitting statistical distributions with
                 {R}",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "xlv + 1672",
  year =         "2011",
  ISBN =         "1-58488-711-7 (hardcover), 1-58488-712-5 (e-book:
                 PDF)",
  ISBN-13 =      "978-1-58488-711-9 (hardcover), 978-1-58488-712-6
                 (e-book: PDF)",
  LCCN =         "QA273.6 .K374 2011",
  bibdate =      "Tue Apr 29 20:39:05 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/probstat2010.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 prodorbis.library.yale.edu:7090/voyager;
                 z3950.loc.gov:7090/Voyager",
  note =         "Includes CD-ROM.",
  URL =          "http://marc.crcnetbase.com/isbn/9781584887126",
  acknowledgement = ack-nhfb,
  subject =      "Distribution (Probability theory); R (Computer program
                 language)",
  tableofcontents = "Part 1. Overview \\
                 Part 2. The generalized lambda distribution \\
                 Part 3. Quantile distribution methods \\
                 Part 4. Other families of distributions \\
                 Part 5. The generalized bootstrap and Monte Carlo
                 methods \\
                 Part 6. Assessment of the quality of fits \\
                 Part 7. Applications \\
                 Part 8. Appendices",
}

@Article{Lazar:2011:BRB,
  author =       "Nicole Lazar",
  title =        "Book Review: {{\booktitle{Introduction to Probability
                 Simulation and Gibbs Sampling With R}} by Eric A.
                 Suess; Bruce E. Trumbo}",
  journal =      j-TECHNOMETRICS,
  volume =       "53",
  number =       "3",
  pages =        "327--327",
  month =        aug,
  year =         "2011",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/23210415",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:45:57 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i23209789;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/23210415",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Li:2011:TRP,
  author =       "Jiangtian Li and Xiaosong Ma and Srikanth Yoginath and
                 Guruprasad Kora and Nagiza F. Samatova",
  title =        "Transparent runtime parallelization of the {R}
                 scripting language",
  journal =      j-J-PAR-DIST-COMP,
  volume =       "71",
  number =       "2",
  pages =        "157--168",
  month =        feb,
  year =         "2011",
  CODEN =        "JPDCER",
  ISSN =         "0743-7315 (print), 1096-0848 (electronic)",
  ISSN-L =       "0743-7315",
  bibdate =      "Fri Feb 25 19:11:47 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.sciencedirect.com/science/journal/07437315",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Parallel and Distributed Computing",
  journal-URL =  "http://www.sciencedirect.com/science/journal/07437315",
}

@Article{Linzer:2011:PRP,
  author =       "Drew A. Linzer and Jeffrey B. Lewis",
  title =        "{poLCA}: An {R} Package for Polytomous Variable Latent
                 Class Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "10",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-15; Accepted 2007-08-02",
}

@Article{Maindonald:2011:SBRd,
  author =       "John H. Maindonald",
  title =        "Short Book Review: {{\booktitle{Exploratory
                 Multivariate Analysis by Example Using R}} by
                 Fran{\c{c}}ois Husson, S{\'e}bastien L{\^e},
                 J{\'e}r{\^o}me Pag{\`e}s}",
  journal =      j-INT-STAT-REV,
  volume =       "79",
  number =       "3",
  pages =        "498--498",
  month =        dec,
  year =         "2011",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2011.00159_19.x;
                 http://dx.doi.org/10.2307/41305079",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:16 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i40058978;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/41305079",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "21 Nov 2011",
}

@Article{Martin:2011:MMC,
  author =       "Andrew D. Martin and Kevin M. Quinn and Jong Hee
                 Park",
  title =        "{MCMCpack}: {Markov} Chain {Monte Carlo} in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "9",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-15; Accepted 2007-11-24",
}

@Book{Matloff:2011:ARP,
  author =       "Norman S. Matloff",
  title =        "The art of {R} programming: tour of statistical
                 software design",
  publisher =    pub-NO-STARCH,
  address =      pub-NO-STARCH:adr,
  pages =        "xxiii + 373",
  year =         "2011",
  ISBN =         "1-59327-384-3",
  ISBN-13 =      "978-1-59327-384-2",
  LCCN =         "QA276.4 .M2925 2011",
  bibdate =      "Thu Jul 10 13:25:57 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/enhancements/fy1205/2011025598-b.html;
                 http://www.loc.gov/catdir/enhancements/fy1205/2011025598-d.html;
                 http://www.loc.gov/catdir/enhancements/fy1205/2011025598-t.html",
  abstract =     "A guide to software development using the R
                 programming language covers such topics as closures,
                 recursion, anonymous functions, and debugging
                 techniques.",
  acknowledgement = ack-nhfb,
  subject =      "Statistics; Data processing; R (Computer program
                 language)",
  tableofcontents = "Introduction \\
                 Why use R for your statistical work? \\
                 Whom is this book for? \\
                 My own background \\
                 Getting started \\
                 How to run R \\
                 A first R session \\
                 Introduction to functions \\
                 Preview of some important R data structures \\
                 Extended example: regression analysis of exam grades
                 \\
                 Startup and shutdown \\
                 Getting help \\
                 Vectors \\
                 Scalars, vectors, arrays, and matrices \\
                 Declarations \\
                 Recycling \\
                 Common vector operations \\
                 Using all() and any() \\
                 Vectorized operations \\
                 NA and NULL values \\
                 Filtering \\
                 A vectorized if-then-else: the ifelse() function \\
                 Testing vector equality \\
                 Vector element names \\
                 More on c() \\
                 Matrices and arrays \\
                 Creating matrices \\
                 General matrix operations \\
                 Applying functions to matrix rows and columns \\
                 Adding and deleting matrix rows and columns \\
                 More on the vector/matrix distinction \\
                 Avoiding unintended dimension reduction \\
                 Naming matrix rows and columns \\
                 Higher-dimensional arrays \\
                 Lists \\
                 Creating lists \\
                 General list operations \\
                 Accessing list components and values \\
                 Applying functions to lists \\
                 Recursive lists \\
                 Data frames \\
                 Creating data frames \\
                 Other matrix-like operations \\
                 Merging data frames \\
                 Applying functions to data frames \\
                 Factors and tables \\
                 Factors and levels \\
                 Common functions used with factors \\
                 Working with tables \\
                 Other factor and table-related functions \\
                 R programming structures \\
                 Control statements \\
                 Arithmetic and Boolean operators and values \\
                 Default values for arguments \\
                 Return values \\
                 Functions are objects \\
                 Environment and scope issues \\
                 No pointers in R \\
                 Writing upstairs \\
                 Recursion \\
                 Replacement functions \\
                 Tools for composing function code \\
                 Writing your own binary operations \\
                 Anonymous functions \\
                 Doing math and simulations in R \\
                 Math functions \\
                 Functions for statistical distributions \\
                 Sorting \\
                 Linear algebra operations on vectors and matrices \\
                 Set operations \\
                 Simulation programming in R --Object-oriented
                 programming \\
                 S3 classes \\
                 S4 classes \\
                 S3 versus S4 \\
                 Managing your objects \\
                 Input/output \\
                 Accessing the keyboard and monitor \\
                 Reading and writing files \\
                 Accessing the Internet \\
                 String manipulation \\
                 An overview of string-manipulation functions \\
                 Regular expressions \\
                 Use of string utilities in the edtdbg debugging tool
                 \\
                 Graphics \\
                 Creating graphs \\
                 Customizing graphs \\
                 Saving graphs to files \\
                 Creating three-dimensional plots \\
                 Debugging \\
                 Fundamental principles of debugging \\
                 Why use a debugging tool? \\
                 Using R debugging facilities \\
                 Moving up in the world: more convenient debugging tools
                 \\
                 Ensuring consistency in debugging simulation code \\
                 Syntax and runtime errors \\
                 Running GDB on R itself \\
                 Performance enhancement: speed and memory \\
                 Writing fast R code \\
                 The dreaded for loop \\
                 Functional programming and memory issues \\
                 Using Rprof() to find slow spots in your code \\
                 Byte code compilation \\
                 Oh no, the data doesn't fit into memory! \\
                 Interfacing R to other languages \\
                 Writing C/C++ functions to be called from R \\
                 Using R from Python \\
                 Parallel R \\
                 The mutual outlinks problem \\
                 Introducing the snow package \\
                 Resorting to C \\
                 General performance considerations \\
                 Debugging parallel R code \\
                 Installing R \\
                 Downloading R from CRAN \\
                 Installing from a Linux package manager \\
                 Installing from source \\
                 Installing and using packages \\
                 Package basics \\
                 Loading a package from your hard drive \\
                 Downloading a package from the Web \\
                 Listing the functions in a package",
}

@Article{Mebane:2011:GOU,
  author =       "Walter R. {Mebane, Jr.} and Jasjeet S. Sekhon",
  title =        "Genetic Optimization Using Derivatives: The {{\tt
                 rgenoud}} Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "11",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-11; Accepted 2007-11-21",
}

@Article{Molas:2011:HGL,
  author =       "Marek Molas and Emmanuel Lesaffre",
  title =        "Hierarchical Generalized Linear Models: The {R}
                 Package {{\tt HGLMMM}}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "13",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i13",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-03-03; Accepted 2010-12-06",
}

@Article{Monteiro:2011:BRP,
  author =       "Jo{\~a}o Vitor Dias Monteiro and Sudipto Banerjee and
                 Gurumurthy Ramachandran",
  title =        "{B2Z}: {R} Package for {Bayesian} Two-Zone Models",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "2",
  pages =        "??--??",
  month =        jul,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-06-09; Accepted 2011-05-12",
}

@Article{Mullen:2011:DRP,
  author =       "Katharine M. Mullen and David Ardia and David L. Gil
                 and Donald Windover and James Cline",
  title =        "{{\tt DEoptim}}: An {R} Package for Global
                 Optimization by Differential Evolution",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "6",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-03-27; Accepted 2011-02-04",
}

@Book{Murrell:2011:RG,
  author =       "Paul Murrell",
  title =        "{R} graphics",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  edition =      "Second",
  pages =        "xxvii + 518",
  year =         "2011",
  ISBN =         "1-4398-3176-9 (hardcover)",
  ISBN-13 =      "978-1-4398-3176-2 (hardcover)",
  LCCN =         "T385 .M9 2011",
  bibdate =      "Thu Jul 10 08:14:55 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Chapman and Hall/CRC the R series",
  acknowledgement = ack-nhfb,
  subject =      "Computer graphics; R (Computer program language)",
}

@Article{Mwitondi:2011:BCR,
  author =       "Kassim S. Mwitondi",
  title =        "{Bayesian computation with R}",
  journal =      j-J-APPL-STAT,
  volume =       "38",
  number =       "10",
  pages =        "2367--2368",
  month =        oct,
  year =         "2011",
  CODEN =        "????",
  DOI =          "http://dx.doi.org/10.1080/02664763.2010.484893",
  ISSN =         "0266-4763 (print), 1360-0532 (electronic)",
  ISSN-L =       "0266-4763",
  bibdate =      "Mon Sep 5 18:53:30 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/japplstat.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.tandf.co.uk/journals/routledge/02664763.html",
  note =         "See \cite{Albert:2009:BCR}.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Applied Statistics",
  journal-URL =  "http://www.tandfonline.com/loi/cjas20",
  onlinedate =   "18 Aug 2011",
}

@Article{Nash:2011:UOA,
  author =       "John C. Nash and Ravi Varadhan",
  title =        "Unifying Optimization Algorithms to Aid Software
                 System Users: optimx for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "9",
  pages =        "??--??",
  month =        aug,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-08-12; Accepted 2011-08-05",
}

@Article{Neubauer:2011:BRB,
  author =       "Dean V. Neubauer",
  title =        "Book Review: {{\booktitle{Introducing Monte Carlo
                 Methods With R}} by Christian P. Robert; George
                 Casella}",
  journal =      j-TECHNOMETRICS,
  volume =       "53",
  number =       "2",
  pages =        "217--218",
  month =        may,
  year =         "2011",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/23209743",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:45:56 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i23209715;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/23209743",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Ng:2011:BRB,
  author =       "Hon Keung Tony Ng",
  title =        "Book Review: {{\booktitle{Introduction to Scientific
                 Programming and Simulation Using R}} by Owen Jones;
                 Robert Maillardet; Andrew Robinson}",
  journal =      j-TECHNOMETRICS,
  volume =       "53",
  number =       "2",
  pages =        "213--214",
  month =        may,
  year =         "2011",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/23209737",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:45:56 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i23209715;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/23209737",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Nielsen:2011:BRB,
  author =       "S{\o}ren Feodor Nielsen",
  title =        "Book Review: {{\booktitle{Introductory time series
                 with R}}}",
  journal =      j-J-APPL-STAT,
  volume =       "38",
  number =       "10",
  pages =        "2370--2371",
  month =        oct,
  year =         "2011",
  CODEN =        "????",
  DOI =          "http://dx.doi.org/10.1080/02664763.2010.517940",
  ISSN =         "0266-4763 (print), 1360-0532 (electronic)",
  ISSN-L =       "0266-4763",
  bibdate =      "Mon Sep 5 18:53:30 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/japplstat.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.tandf.co.uk/journals/routledge/02664763.html",
  note =         "See \cite{Cowpertwait:2009:ITS}.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Applied Statistics",
  journal-URL =  "http://www.tandfonline.com/loi/cjas20",
  onlinedate =   "18 Aug 2011",
}

@Article{OConnell:2011:HSM,
  author =       "Jared O'Connell and S{\o}ren H{\o}jsgaard",
  title =        "Hidden Semi {Markov} Models for Multiple Observation
                 Sequences: The {{\tt mhsmm}} Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "4",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-02; Accepted 2010-09-29",
}

@Article{Petris:2011:SSM,
  author =       "Giovanni Petris and Sonia Petrone",
  title =        "State Space Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "4",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v41/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-26; Accepted 2010-11-10",
}

@Article{Petrou:2011:OPP,
  author =       "Savvas Petrou and Terence M. Sloan and Muriel Mewissen
                 and Thorsten Forster and Michal Piotrowski and Bartosz
                 Dobrzelecki and Peter Ghazal and Arthur Trew and Jon
                 Hill",
  title =        "Optimization of a parallel permutation testing
                 function for the {SPRINT R} package",
  journal =      j-CCPE,
  volume =       "23",
  number =       "17",
  pages =        "2258--2268",
  day =          "10",
  month =        dec,
  year =         "2011",
  CODEN =        "CCPEBO",
  DOI =          "http://dx.doi.org/10.1002/cpe.1787",
  ISSN =         "1532-0626 (print), 1532-0634 (electronic)",
  ISSN-L =       "1532-0626",
  bibdate =      "Mon Dec 5 10:09:00 MST 2011",
  bibsource =    "http://www.interscience.wiley.com/jpages/1532-0626;
                 http://www.math.utah.edu/pub/tex/bib/ccpe.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "Concurrency and Computation: Practice and Experience",
  journal-URL =  "http://www.interscience.wiley.com/jpages/1532-0626",
  keywords =     "statistical language R",
  onlinedate =   "23 Jun 2011",
}

@Article{Plummer:2011:LRC,
  author =       "Martyn Plummer and Bendix Carstensen",
  title =        "{Lexis}: An {R} Class for Epidemiological Studies with
                 Long-Term Follow-Up",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "5",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v38/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-02-09; Accepted 2010-09-16",
}

@Article{Polasek:2011:SBRa,
  author =       "Wolfgang Polasek",
  title =        "Short Book Review: {{\booktitle{Using R for Data
                 Management, Statistical Analysis, and Graphics}} by
                 Nicholas J. Horton, Ken Kleinman}",
  journal =      j-INT-STAT-REV,
  volume =       "79",
  number =       "2",
  pages =        "284--285",
  month =        aug,
  year =         "2011",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.2307/41305035;
                 http://dx.doi.org/10.1111/j.1751-5823.2011.00149_11.x",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:16 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i40058977;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/41305035",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "2 Aug 2011",
}

@Article{Poole:2011:SRC,
  author =       "Keith Poole and Jeffrey B. Lewis and James Lo and
                 Royce Carroll",
  title =        "Scaling Roll Call Votes with {{\tt wnominate}} in
                 {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "14",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i14",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-01; Accepted 2007-08-07",
}

@Book{Rasch:2011:OED,
  author =       "Dieter Rasch and J{\"u}rgen Pilz and Rob Verdooren and
                 Albrecht Gebhardt",
  title =        "Optimal experimental design with {R}",
  publisher =    pub-CRC,
  address =      pub-CRC:adr,
  pages =        "xix + 325",
  year =         "2011",
  ISBN =         "1-4398-1697-2 (hardcover), 1-4398-1698-0 (e-book)",
  ISBN-13 =      "978-1-4398-1697-4 (hardcover), 978-1-4398-1698-1
                 (e-book)",
  LCCN =         "QA279 .O668 2011",
  bibdate =      "Thu Jul 10 10:03:59 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  abstract =     "Experimental design is often overlooked in the
                 literature of applied and mathematical statistics:
                 statistics is taught and understood as merely a
                 collection of methods for analyzing data. Consequently,
                 experimenters seldom think about optimal design,
                 including prerequisites such as the necessary sample
                 size needed for a precise answer for an experimental
                 question. Providing a concise introduction to
                 experimental design theory, Optimal Experimental Design
                 with R: Introduces the philosophy of experimental
                 design Provides an easy process for constructing
                 experimental designs and calculating necessary sample
                 size using R programs Teaches by example using a custom
                 made R program package: OPDOE. Consisting of detailed,
                 data-rich examples, this book introduces experimenters
                 to the philosophy of experimentation, experimental
                 design, and data collection. It gives researchers and
                 statisticians guidance in the construction of optimum
                 experimental designs using R programs, including sample
                 size calculations, hypothesis testing, and confidence
                 estimation. A final chapter of in-depth theoretical
                 details is included for interested mathematical
                 statisticians.",
  acknowledgement = ack-nhfb,
  subject =      "Experimental design; R (Computer program language)",
  tableofcontents = "I. Determining the minimal size of an experiment
                 for given precision \\
                 2. Sample size determination to completely randomise
                 designs \\
                 3. Size of experiments in analysis of variance models
                 \\
                 4. Sample size determination in model II of regression
                 analysis \\
                 5. Sequential designs \\
                 II. Construction of optimal designs \\
                 6.Constructing balanced incomplete block designs \\
                 7.Constructing fractional factorial designs \\
                 8. Exact optimal designs and sample sizes in model of
                 regression analysis \\
                 III. Special designs \\
                 9. Second order designs \\
                 10. Mixture designs \\
                 A. Theoretical background",
}

@Book{Rasch:2011:SPU,
  author =       "Dieter Rasch and Klaus D. Kubinger and Takuya
                 Yanagida",
  title =        "Statistics in psychology using {R} and {SPSS}",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "????",
  year =         "2011",
  ISBN =         "0-470-97124-X",
  ISBN-13 =      "978-0-470-97124-6",
  LCCN =         "BF39 .S7863 2011",
  bibdate =      "Mon Jan 16 12:52:49 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  acknowledgement = ack-nhfb,
  subject =      "Psychometrics; SPSS (Computer file); methods;
                 Statistics as Topic; Software",
  tableofcontents = "Concept of the book \\
                 Measuring in psychology \\
                 Psychology: an empirical science \\
                 Definition: character, chance, experiment, and survey
                 \\
                 Numerical and graphical data analysis \\
                 Probability and distribution \\
                 Assumptions: random sampling and randomization \\
                 One sample from one population \\
                 Two samples from two populations \\
                 Samples from more than two populations \\
                 Regression and correlation \\
                 One sample from one population \\
                 Samples from more than one population \\
                 Model generation \\
                 Theory-generating procedures",
}

@Book{RDCT:2011:IRN,
  author =       "{R Development Core Team}",
  title =        "An Introduction to {R}: Notes on {R}: {A} Programming
                 Environment for Data Analysis and Graphics: Version
                 2.13.0 (2011-04-13)",
  publisher =    "????",
  address =      "????",
  pages =        "iv + 103",
  year =         "2011",
  ISBN =         "3-900051-12-7",
  ISBN-13 =      "978-3-900051-12-9",
  LCCN =         "????",
  bibdate =      "Thu Jun 02 07:05:33 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://cran.r-project.org/doc/manuals/R-intro.pdf",
  acknowledgement = ack-nhfb,
}

@Book{RDCT:2011:RDI,
  author =       "{R Development Core Team}",
  title =        "{R} Data Import\slash Export: Version 2.13.0
                 (2011-04-13)",
  publisher =    "????",
  address =      "????",
  pages =        "ii + 35",
  year =         "2011",
  ISBN =         "3-900051-10-0",
  ISBN-13 =      "978-3-900051-10-5",
  LCCN =         "????",
  bibdate =      "Thu Jun 02 07:05:33 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://cran.r-project.org/doc/manuals/R-data.pdf",
  acknowledgement = ack-nhfb,
}

@Book{RDCT:2011:RIA,
  author =       "{R Development Core Team}",
  title =        "{R} Installation and Administration: Version 2.13.0
                 (2011-04-13)",
  publisher =    "????",
  address =      "????",
  pages =        "iii + 66",
  year =         "2011",
  ISBN =         "3-900051-09-7",
  ISBN-13 =      "978-3-900051-09-9",
  LCCN =         "????",
  bibdate =      "Thu Jun 02 07:05:33 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://cran.r-project.org/doc/manuals/R-admin.pdf",
  acknowledgement = ack-nhfb,
}

@Book{RDCT:2011:RIV,
  author =       "{R Development Core Team}",
  title =        "{R} Internals: Version 2.13.0 (2011-04-13)",
  publisher =    "????",
  address =      "????",
  pages =        "ii + 58",
  year =         "2011",
  ISBN =         "3-900051-14-3",
  ISBN-13 =      "978-3-900051-14-3",
  LCCN =         "????",
  bibdate =      "Thu Jun 02 07:05:33 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://cran.r-project.org/doc/manuals/R-ints.pdf",
  acknowledgement = ack-nhfb,
}

@Book{RDCT:2011:RLD,
  author =       "{R Development Core Team}",
  title =        "{R} Language Definition: Version 2.13.0 (2011-04-13)",
  publisher =    "????",
  address =      "????",
  pages =        "iii + 62",
  year =         "2011",
  ISBN =         "3-900051-13-5",
  ISBN-13 =      "978-3-900051-13-6",
  LCCN =         "????",
  bibdate =      "Thu Jun 02 07:05:33 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://cran.r-project.org/doc/manuals/R-lang.pdf",
  acknowledgement = ack-nhfb,
}

@Book{RDCT:2011:RLE,
  author =       "{R Development Core Team}",
  title =        "{R}: {A} Language and Environment for Statistical
                 Computing: Reference Index",
  publisher =    "????",
  address =      "????",
  pages =        "xlix + 3396",
  year =         "2011",
  ISBN =         "3-900051-07-0",
  ISBN-13 =      "978-3-900051-07-5",
  LCCN =         "????",
  bibdate =      "Thu Jun 02 07:05:33 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://cran.r-project.org/doc/manuals/fullrefman.pdf",
  acknowledgement = ack-nhfb,
}

@Book{RDCT:2011:WRE,
  author =       "{R Development Core Team}",
  title =        "Writing {R} Extensions: Version 2.13.0 (2011-04-13)",
  publisher =    "????",
  address =      "????",
  pages =        "iv + 167",
  year =         "2011",
  ISBN =         "3-900051-11-9",
  ISBN-13 =      "978-3-900051-11-2",
  LCCN =         "????",
  bibdate =      "Thu Jun 02 07:05:33 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://cran.r-project.org/doc/manuals/R-exts.pdf",
  acknowledgement = ack-nhfb,
}

@Article{Richardson:2011:SBRc,
  author =       "Alice Richardson",
  title =        "Short Book Review: {{\booktitle{Multiple Comparisons
                 Using R}} by Frank Bretz, Torsten Hothorn, Peter
                 Westfall}",
  journal =      j-INT-STAT-REV,
  volume =       "79",
  number =       "2",
  pages =        "297--297",
  month =        aug,
  year =         "2011",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2011.00149_23.x;
                 http://dx.doi.org/10.2307/41305047",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:16 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i40058977;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/41305047",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "2 Aug 2011",
}

@Book{Robinson:2011:IBO,
  author =       "Peter N. (Peter Nicholas) Robinson and Sebastian
                 Bauer",
  title =        "Introduction to bio-ontologies",
  publisher =    pub-TAYLOR-FRANCIS,
  address =      pub-TAYLOR-FRANCIS:adr,
  pages =        "xxvii + 488",
  year =         "2011",
  ISBN =         "1-4398-3665-5 (hardcover)",
  ISBN-13 =      "978-1-4398-3665-1 (hardcover)",
  LCCN =         "QH324.2 .R618 2011",
  bibdate =      "Tue May 7 11:15:28 MDT 2013",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/sigact.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Chapman and Hall/CRC mathematical and computational
                 biology series",
  acknowledgement = ack-nhfb,
  subject =      "Bioinformatics; Ontologies (Information retrieval)",
  tableofcontents = "Ontologies and applications of ontologies in
                 biomedicine \\
                 Mathematical logic and inference \\
                 Probability theory and statistics for bio-ontologies
                 \\
                 Ontology language \\
                 The gene ontology \\
                 Upper-level ontologies \\
                 A selective survey of bio-ontologies \\
                 Overrepresentation analysis \\
                 Model-based approaches to GO analysis \\
                 Semantic similarity \\
                 Frequency-aware Bayesian network searches in attribute
                 ontologies \\
                 Inference in gene ontology \\
                 RDFS semantics and inference \\
                 Inference in OWL ontologies \\
                 Algorithmic foundations of computational inference \\
                 SPARQL \\
                 Appendixes \\
                 A. An overview of R \\
                 B. Information content and entropy \\
                 C. W3C standards: XML, URIs, and RDF \\
                 D. W3C standards: OWL",
}

@Article{Roelstraete:2011:FRP,
  author =       "Bjorn Roelstraete and Yves Rosseel",
  title =        "{FIAR}: An {R} Package for Analyzing Functional
                 Integration in the Brain",
  journal =      j-J-STAT-SOFT,
  volume =       "44",
  number =       "13",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:24 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v44/i13",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-11-13; Accepted 2011-06-21",
}

@Article{Sanchez:2011:BRB,
  author =       "Juana Sanchez",
  title =        "Book Review: {{\booktitle{Hidden Markov Models for
                 Time Series --- An Introduction Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "BR-4",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/b04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-10-04; Accepted 2011-10-04",
}

@Article{Sauter:2011:BRB,
  author =       "Roger M. Sauter",
  title =        "Book Review: {{\booktitle{R for SAS and SPSS Users}}
                 (1st ed) by Robert A. Muenchen}",
  journal =      j-TECHNOMETRICS,
  volume =       "53",
  number =       "1",
  pages =        "101--101",
  month =        feb,
  year =         "2011",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/40997301",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:45:55 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40045084;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
  URL =          "http://www.jstor.org/stable/40997301",
  acknowledgement = ack-nhfb,
  fjournal =     "Technometrics",
  journal-URL =  "http://www.jstor.org/journals/00401706.html",
}

@Article{Scharpf:2011:URP,
  author =       "Robert B. Scharpf and Rafael A. Irizarry and Matthew
                 E. Ritchie and Benilton Carvalho and Ingo Ruczinski",
  title =        "Using the {R} Package {{\tt crlmm}} for Genotyping and
                 Copy Number Estimation",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "12",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-09-09; Accepted 2011-04-18",
}

@Article{Scheike:2011:ACR,
  author =       "Thomas H. Scheike and Mei-Jie Zhang",
  title =        "Analyzing Competing Risk Data Using the {R} {{\tt
                 timereg}} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "2",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v38/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-05-25; Accepted 2010-06-22",
}

@Article{Scheipl:2011:SBV,
  author =       "Fabian Scheipl",
  title =        "{spikeSlabGAM}: {Bayesian} Variable Selection, Model
                 Choice and Regularization for Generalized Additive
                 Mixed Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "14",
  pages =        "??--??",
  month =        sep,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/i14",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-11-23; Accepted 2011-08-31",
}

@Article{Sekhon:2011:MPS,
  author =       "Jasjeet S. Sekhon",
  title =        "Multivariate and Propensity Score Matching Software
                 with Automated Balance Optimization: The Matching
                 package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "7",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-07; Accepted 2007-06-16",
}

@Article{Sevcikova:2011:BRP,
  author =       "Hana Sevc{\'\i}kov{\'a} and Leontine Alkema and Adrian
                 Raftery",
  title =        "{bayesTFR}: An {R} package for Probabilistic
                 Projections of the Total Fertility Rate",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "1",
  pages =        "??--??",
  month =        jul,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-10-03; Accepted 2011-07-06",
}

@Article{Shang:2011:BRB,
  author =       "Han Lin Shang",
  title =        "Book Review: {{\booktitle{Dynamic linear models with
                 R}}}",
  journal =      j-J-APPL-STAT,
  volume =       "38",
  number =       "10",
  pages =        "2369--2370",
  month =        oct,
  year =         "2011",
  CODEN =        "????",
  DOI =          "http://dx.doi.org/10.1080/02664763.2010.517938",
  ISSN =         "0266-4763 (print), 1360-0532 (electronic)",
  ISSN-L =       "0266-4763",
  bibdate =      "Mon Sep 5 18:53:30 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/japplstat.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.tandf.co.uk/journals/routledge/02664763.html",
  note =         "See \cite{Petris:2009:DLM}.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Applied Statistics",
  journal-URL =  "http://www.tandfonline.com/loi/cjas20",
  onlinedate =   "18 Aug 2011",
}

@Article{Shentu:2011:BRB,
  author =       "Yue Shentu",
  title =        "Book Review: {{\booktitle{Clinical Trial Data Analysis
                 Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "BR-1",
  pages =        "??--??",
  month =        jul,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-07-18; Accepted 2011-07-18",
}

@Book{Shumway:2011:TSA,
  author =       "Robert H. Shumway and David S. Stoffer",
  title =        "Time series analysis and its applications: with {R}
                 examples",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  edition =      "Third",
  pages =        "xi + 596",
  year =         "2011",
  DOI =          "http://dx.doi.org/10.1007/978-1-4419-7865-3",
  ISBN =         "1-4419-7865-8 (e-book)",
  ISBN-13 =      "978-1-4419-7865-3 (e-book)",
  LCCN =         "QA280 .S58 2011",
  bibdate =      "Tue Sep 6 08:59:49 MDT 2011",
  bibsource =    "fsz3950.oclc.org:210/WorldCat;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  series =       "Springer texts in statistics",
  URL =          "http://rave.ohiolink.edu/ebooks/ebc/978144197865",
  acknowledgement = ack-nhfb,
  subject =      "Time-series analysis; Data processing",
}

@Article{Su:2011:MID,
  author =       "Yu-Sung Su and Andrew Gelman and Jennifer Hill and
                 Masanao Yajima",
  title =        "Multiple Imputation with Diagnostics (mi) in {R}:
                 Opening Windows into the Black Box",
  journal =      j-J-STAT-SOFT,
  volume =       "45",
  number =       "2",
  pages =        "??--??",
  month =        dec,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:25 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v45/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-06-15; Accepted 2011-05-30",
}

@Article{Tabelow:2011:SPM,
  author =       "Karsten Tabelow and J{\"o}rg Polzehl",
  title =        "Statistical Parametric Maps for Functional {MRI}
                 Experiments in {R}: The Package {\tt fmri}",
  journal =      j-J-STAT-SOFT,
  volume =       "44",
  number =       "11",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:24 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v44/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-11-10; Accepted 2011-06-15",
}

@Article{Tabelow:2011:SVM,
  author =       "Karsten Tabelow and Brandon Whitcher",
  title =        "Special Volume on Magnetic Resonance Imaging in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "44",
  number =       "1",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:24 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v44/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-09-29; Accepted 2011-09-29",
}

@Article{Taylor:2011:RPW,
  author =       "Julian Taylor and Arunas Verbyla",
  title =        "{R} Package wgaim: {QTL} Analysis in Bi-Parental
                 Populations Using Linear Mixed Models",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "7",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-13; Accepted 2011-02-25",
}

@Book{Teetor:2011:RC,
  author =       "Paul Teetor",
  title =        "{R} cookbook",
  publisher =    pub-ORA,
  address =      pub-ORA:adr,
  pages =        "xviii + 413",
  year =         "2011",
  ISBN =         "0-596-80915-8",
  ISBN-13 =      "978-0-596-80915-7",
  LCCN =         "QA276.45.R3 T44 2011",
  bibdate =      "Thu Jul 10 10:10:42 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  URL =          "http://www.loc.gov/catdir/enhancements/fy1113/2011282768-b.html;
                 http://www.loc.gov/catdir/enhancements/fy1113/2011282768-d.html;
                 http://www.loc.gov/catdir/enhancements/fy1113/2011282768-t.html",
  acknowledgement = ack-nhfb,
  author-dates = "1954--",
  subject =      "R (Computer program language); Mathematical
                 statistics; Graphic methods; Data processing;
                 Statistics; Multiple comparisons (Statistics)",
  tableofcontents = "1. Getting Started and Getting Help \\
                 2. Some Basics \\
                 3. Navigating the Software \\
                 4. Input and Output \\
                 5. Data Structures \\
                 6. Data Transformations \\
                 7. Strings and Dates \\
                 8. Probability \\
                 9. General Statistics \\
                 10. Graphics \\
                 11. Linear Regression and ANOVA \\
                 12. Useful Tricks \\
                 13. Beyond Basic Numerics and Statistics \\
                 14. Time Series Analysis",
}

@Article{Tusell:2011:KFR,
  author =       "Fernando Tusell",
  title =        "{Kalman} Filtering in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "2",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-12; Accepted 2010-08-17",
}

@Article{Unwin:2011:SBRa,
  author =       "Antony Unwin",
  title =        "Short Book Review: {{\booktitle{Graphics for
                 Statistics and Data Analysis with R}} by Kevin J.
                 Keen}",
  journal =      j-INT-STAT-REV,
  volume =       "79",
  number =       "1",
  pages =        "114--114",
  month =        apr,
  year =         "2011",
  CODEN =        "ISTRDP",
  DOI =          "http://dx.doi.org/10.1111/j.1751-5823.2011.00134_1.x;
                 http://dx.doi.org/10.2307/41306167",
  ISSN =         "0306-7734 (print), 1751-5823 (electronic)",
  ISSN-L =       "0306-7734",
  bibdate =      "Wed Jun 18 06:26:15 MDT 2014",
  bibsource =    "http://www.jstor.org/stable/i40059031;
                 http://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstor.org/stable/41306167",
  acknowledgement = ack-nhfb,
  fjournal =     "International Statistical Review = Revue
                 Internationale de Statistique",
  journal-URL =  "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
                 http://www.jstor.org/journals/03067734.html",
  onlinedate =   "3 Apr 2011",
}

@Article{vanBuuren:2011:MMI,
  author =       "Stef van Buuren and Karin Groothuis-Oudshoorn",
  title =        "{\tt mice}: {Multivariate Imputation by Chained
                 Equations} in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "45",
  number =       "3",
  pages =        "??--??",
  month =        dec,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:25 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v45/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-01; Accepted 2011-05-30",
}

@Article{vanderWal:2011:IRP,
  author =       "Willem M. van der Wal and Ronald B. Geskus",
  title =        "{\tt ipw}: An {R} Package for Inverse Probability
                 Weighting",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "13",
  pages =        "??--??",
  month =        sep,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/i13",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-04-07; Accepted 2011-06-13",
}

@Article{Wang:2011:DEM,
  author =       "Xiao-Feng Wang and Bin Wang",
  title =        "Deconvolution Estimation in Measurement Error Models:
                 The {R} Package {{\tt decon}}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "10",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-03-21; Accepted 2010-11-04",
}

@Article{Wang:2011:SRP,
  author =       "Ji-Ping Wang",
  title =        "{SPECIES}: An {R} Package for Species Richness
                 Estimation",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "9",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-03-11; Accepted 2011-03-27",
}

@Article{Welvaert:2011:NRP,
  author =       "Marijke Welvaert and Joke Durnez and Beatrijs
                 Moerkerke and Geert Berdoolaege and Yves Rosseel",
  title =        "{{\tt neuRosim}}: An {R} Package for Generating {fMRI}
                 Data",
  journal =      j-J-STAT-SOFT,
  volume =       "44",
  number =       "10",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:24 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v44/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-10-31; Accepted 2011-06-21",
}

@Article{Whitcher:2011:QAD,
  author =       "Brandon Whitcher and Volker J. Schmid",
  title =        "Quantitative Analysis of Dynamic Contrast-Enhanced and
                 Diffusion-Weighted Magnetic Resonance Imaging for
                 Oncology in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "44",
  number =       "5",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:24 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v44/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-10-20; Accepted 2011-06-17",
}

@Article{Whitcher:2011:WDN,
  author =       "Brandon Whitcher and Volker J. Schmid and Andrew
                 Thorton",
  title =        "Working with the {DICOM} and {NIfTI} Data Standards in
                 {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "44",
  number =       "6",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Sat Feb 25 18:33:24 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v44/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-10-25; Accepted 2011-06-07",
}

@Article{Wickham:2011:TRP,
  author =       "Hadley Wickham and Dianne Cook and Heike Hofmann and
                 Andreas Buja",
  title =        "{{\tt tourr}}: An {R} Package for Exploring
                 Multivariate Data with Projections",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "2",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-31; Accepted 2010-10-07",
}

@Book{Williams:2011:DMR,
  author =       "Graham J. Williams",
  title =        "Data mining with {Rattle} and {R}: the art of
                 excavating data for knowledge discovery",
  publisher =    pub-SV,
  address =      pub-SV:adr,
  pages =        "xx + 374",
  year =         "2011",
  ISBN =         "1-4419-9889-6 (paperback), 1-4419-9890-X (e-bib)",
  ISBN-13 =      "978-1-4419-9889-7 (paperback), 978-1-4419-9890-3
                 (e-bib)",
  LCCN =         "QA76.9.D343 W556 2011",
  bibdate =      "Thu Jul 10 12:50:53 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  series =       "Use R!",
  abstract =     "Data mining is the art and science of intelligent data
                 analysis. By building knowledge from information, data
                 mining adds considerable value to the ever increasing
                 stores of electronic data that abound today. In
                 performing data mining many decisions need to be made
                 regarding the choice of methodology, the choice of
                 data, the choice of tools, and the choice of
                 algorithms. Throughout this book the reader is
                 introduced to the basic concepts and some of the more
                 popular algorithms of data mining. With a focus on the
                 hands-on-end-to-end process for data mining. Williams
                 guides the reader through various capabilities of the
                 easy to use, free, and open source Rattle Data Mining
                 Software built on the sophisticated R Statistical
                 Software.",
  acknowledgement = ack-nhfb,
  subject =      "Data mining; R (Computer program language); Data
                 mining; R (Computer program language)",
  tableofcontents = "Introduction \\
                 Getting Started \\
                 Working with Data \\
                 Loading Data \\
                 Exploring Data \\
                 Interactive Graphics \\
                 Transforming Data \\
                 Descriptive and Predictive Analytics \\
                 Cluster Analysis \\
                 Association Analysis \\
                 Decision Trees \\
                 Random Forests \\
                 Boosting \\
                 Support Vector Machines \\
                 Model Performance Evaluation \\
                 Deployment",
  xxtableofcontents = "Explorations \\
                 Building models \\
                 Delivering performance \\
                 Appendices",
}

@Book{Zieffler:2011:CGR,
  author =       "Andrew Zieffler and Jeffrey Harring and Jeffrey D.
                 Long",
  title =        "Comparing groups: randomization and bootstrap methods
                 using {R}",
  publisher =    pub-WILEY,
  address =      pub-WILEY:adr,
  pages =        "xxxii + 298",
  year =         "2011",
  ISBN =         "0-470-62169-9 (hardcover)",
  ISBN-13 =      "978-0-470-62169-1 (hardcover)",
  LCCN =         "QA276.8 .Z53 2011",
  bibdate =      "Thu Jul 10 12:57:12 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 z3950.loc.gov:7090/Voyager",
  abstract =     "This book, written by three behavioral scientists for
                 other behavioral scientists, addresses common issues in
                 statistical analysis for the behavioral and educational
                 sciences. Modern Statistical and Computing Methods for
                 the Behavioral and Educational Sciences using R
                 emphasizes the direct link between scientific research
                 questions and data analysis. Purposeful attention is
                 paid to the integration of design, statistical
                 methodology, and computation to propose answers to
                 specific research questions. Furthermore, practical
                 suggestions for the analysis and presentation of
                 results, in prose, tables and/or figures, are included.
                 Optional sections for each chapter include
                 methodological extensions for readers desiring
                 additional technical details. Rather than focus on
                 mathematical calculations like so many other
                 introductory texts in the behavioral sciences, the
                 authors focus on conceptual explanations and the use of
                 statistical computing. Statistical computing is an
                 integral part of statistical work, and to support
                 student learning in this area, examples using the R
                 computer program are provided throughout the book.
                 Rather than relegate examples to the end of chapters,
                 the authors interweave computer examples with the
                 narrative of the book. Topical coverage includes an
                 introduction to R, data exploration of one variable,
                 data exploration of multivariate data - comparing two
                 groups and many groups, permutation and randomization
                 tests, the independent samples t-Test, the Bootstrap
                 test, interval estimates and effect sizes, power, and
                 dependent samples.",
  acknowledgement = ack-nhfb,
  author-dates = "1974--",
  subject =      "Bootstrap (Statistics); Random data (Statistics);
                 Psychology; Data processing; R (Computer program
                 language); Distribution (Probability theory); SOCIAL
                 SCIENCE / Statistics",
  tableofcontents = "Front Matter \\
                 An Introduction to R \\
                 Data Representation and Preparation \\
                 Data Exploration: One Variable \\
                 Exploration of Multivariate Data: Comparing two Groups
                 \\
                 Exploration of Multivariate Data: Comparing Many Groups
                 \\
                 Randomization and Permutation Tests \\
                 Bootstrap Tests \\
                 Philosophical Considerations \\
                 Bootstrap Intervals and Effect Sizes \\
                 Dependent Samples \\
                 Planned Contrasts \\
                 Unplanned Contrasts \\
                 References",
}

@Article{Adams:2012:BRB,
  author =       "Wayne Adams and Mark Anderson",
  title =        "Book Review: {{\booktitle{Optimal Experimental Design
                 with R}} by Dieter Rasch; Jurgen Pilz; L. R. Verdooren;
                 Albrecht Gebhardt}",
  journal =      j-TECHNOMETRICS,
  volume =       "54",
  number =       "2",
  pages =        "203--203",
  month =        may,
  year =         "2012",
  CODEN =        "TCMTA2",
  DOI =          "http://dx.doi.org/10.2307/41714877",
  ISSN =         "0040-1706 (print), 1537-2723 (electronic)",
  ISSN-L =       "0040-1706",
  bibdate =      "Sat Jun 21 13:46:01 MDT 2014",
  bibsource =    "http://www.jstor.org/journals/00401706.html;
                 http://www.jstor.org/stable/i40080562;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/t