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100   $a20110110d2009      fy         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aModern regression techniques using R $ea practical guide for students and researchers /$fDaniel B. Wright and Kamala London
205   $a1st ed.
210   $aLos Angeles ;$aLondon $cSAGE$d2009
210  1$aLos Angeles ;$aLondon :$cSAGE,$d2009.
215   $a1 online resource (viii, 204 p.) $cill
311 08$a9781847879028 
311 08$a1847879020 
311 08$a9781847879035 
311 08$a1847879039 
320   $aIncludes bibliographical references and index.
327   $aCover; Contents; Preface; 1 Very brief introduction to R; 2 The basic regression; 3 ANOVA as regression; 4 ANCOVA: Lord's paradox and mediation analysis; 5 Model selection and shrinkage; 6 Generalized linear models (GLMs); 7 Regression splines and generalized additive models (GAMs); 8 Multilevel models; 9 Robust regression; 10 Conclusion - make your data cool; Glossary of R functions used in this book; References; Index
330 8 $aTechniques covered in this book include multilevel modeling ANOVA and ANCOVA, path analysis, mediation and moderation logistic regression, generalised additive models, and robust methods. These are all tested out using a range of real research examples conducted by the authors in every chapter.
606   $aRegression analysis
606   $aRegression analysis$xData processing
606   $aSocial sciences$xStatistical methods
606   $aFree computer software
615  0$aRegression analysis.
615  0$aRegression analysis$xData processing.
615  0$aSocial sciences$xStatistical methods.
615  0$aFree computer software.
676   $a300.1519536
700   $aWright$b Daniel B$098320
701   $aLondon$b Kamala$01796385
801  0$bStDuBDS
801  1$bStDuBDS
906   $aBOOK
912   $a9910957168503321
996   $aModern regression techniques using R$94338111
997   $aUNINA