MARC Record from harvard_bibliographic_metadata

LEADER: 02073cam a22003494a 4500
001 011824498-1
005 20090908181805.0
008 041110s2005 enka b 001 0 eng
010 $a 2004026793
020 $a0470022973 (acid-free : hardback)
020 $a0470022981 (acid-free : pbk.)
035 0 $aocm56967204
040 $aDLC$cDLC$dDLC
042 $apcc
050 00 $aQA276.12$b.C73 2005
082 00 $a519.5$222
100 1 $aCrawley, Michael J.
245 10 $aStatistics :$ban introduction using R /$cMichael J. Crawley.
260 $aChichester, West Sussex, England :$bJ. Wiley,$cc2005.
300 $axiii, 327 p. :$bill. ;$c25 cm.
504 $aIncludes bibliographical references (p. 305-308) and index.
505 0 $aFundamentals -- Dataframes -- Central tendency -- Variance -- Single samples -- Two samples -- Statistical modelling -- Regression -- Analysis of variance -- Analysis of covariance -- Multiple regression -- Contrasts -- Count data -- Proportion data -- Death and failure data -- Binary response variable -- Appendix 1: Fundamentals of the R language.
520 1 $a"Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Computational Statistics. Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R." --Book jacket.
650 12 $aSoftware.
650 12 $aMathematics.
650 12 $aStatistics as Topic$xmethods.
650 0 $aMathematical statistics$vTextbooks.
650 0 $aR (Computer program language)
655 2 $aTextbooks
655 7 $aTextbooks.$2fast
988 $a20090206
906 $0DLC