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100   $a20110110d2009      fy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aModern regression techniques using R$b[electronic resource] $ea practical guide for students and researchers /$fDaniel B. Wright and Kamala London
210   $aLos Angeles, [Calif.] ;$aLondon $cSAGE$d2009
215   $a1 online resource (217 p.)
300   $aDescription based upon print version of record.
311   $a1-84787-902-0 
311   $a1-84787-903-9 
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   $aSocial sciences$xStatistical methods
606   $aFree computer software
608   $aElectronic books.
615  0$aRegression analysis.
615  0$aSocial sciences$xStatistical methods.
615  0$aFree computer software.
676   $a300.72
676   $a519.536
700   $aWright$b Daniel B$098320
701   $aLondon$b Kamala$01054911
801  0$bStDuBDS
801  1$bStDuBDS
906   $aBOOK
912   $a9910464112403321
996   $aModern regression techniques using R$92487904
997   $aUNINA