03205oam 2200829 a 450 991095716850332120240514021801.0978661328914897814462441041446244105978128328914612832891489781446206027144620602597808570244970857024493(CKB)3230000000007017(EBL)743577(OCoLC)764572812(SSID)ssj0000539215(PQKBManifestationID)12177388(PQKBTitleCode)TC0000539215(PQKBWorkID)10568819(PQKB)11151468(OCoLC)1014400585(StDuBDS)EDZ0000018666(Au-PeEL)EBL743577(CaPaEBR)ebr10504440(CaONFJC)MIL328914(OCoLC)1199301134(FINmELB)ELB131844(PPN)241544971(PPN)22791337X(FR-PaCSA)88869357(MiAaPQ)EBC743577(FRCYB88869357)88869357(EXLCZ)99323000000000701720110110d2009 fy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierModern regression techniques using R a practical guide for students and researchers /Daniel B. Wright and Kamala London1st ed.Los Angeles ;London SAGE2009Los Angeles ;London :SAGE,2009.1 online resource (viii, 204 p.) ill9781847879028 1847879020 9781847879035 1847879039 Includes bibliographical references and index.Cover; 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; IndexTechniques 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.Regression analysisRegression analysisData processingSocial sciencesStatistical methodsFree computer softwareRegression analysis.Regression analysisData processing.Social sciencesStatistical methods.Free computer software.300.1519536Wright Daniel B98320London Kamala1796385StDuBDSStDuBDSBOOK9910957168503321Modern regression techniques using R4338111UNINA