03161oam 2200613I 450 991079702890332120230801234511.00-429-07529-41-4398-1513-510.1201/b13151 (CKB)3710000000391428(EBL)1570060(OCoLC)908078409(SSID)ssj0001458817(PQKBManifestationID)12555254(PQKBTitleCode)TC0001458817(PQKBWorkID)11456419(PQKB)10866872(MiAaPQ)EBC1570060(Au-PeEL)EBL1570060(CaPaEBR)ebr11167009(OCoLC)935230613(EXLCZ)99371000000039142820180706d2012 uy 0engur|n|---|||||txtccrGeneralized linear mixed models modern concepts, methods and applications /by Walter W. StroupFirst edition.Boca Raton, FL :CRC Press, an imprint of Taylor and Francis,2012.1 online resource (547 p.)Chapman & Hall/CRC Texts in Statistical ScienceA Chapman & Hall BookDescription based upon print version of record.1-4398-1512-7 Includes bibliographical references.Front Cover; Generalized Linear Mixed Models: Modern Concepts, Methods and Applications; Copyright; Table of Contents; Preface; Acknowledgments; Part I: The Big Picture; 1. Modeling Basics; 2. Design Matters; 3. Setting the Stage; Part II: Estimation and Inference Essentials; 4. Estimation; 5. Inference, Part I: Model Effects; 6. Inference, Part II: Covariance Components; Part III: Working with GLMMs; 7. Treatment and Explanatory Variable Structure; 8. Multilevel Models; 9. Best Linear Unbiased Prediction; 10. Rates and Proportions; 11. Counts; 12. Time-to-Event Data; 13. Multinomial Data14. Correlated Errors, Part I: Repeated Measures15. Correlated Errors, Part II: Spatial Variability; 16. Power, Sample Size, and Planning; Appendices: Essential Matrix Operations and Results; Appendix A: Matrix Operations; Appendix B: Distribution Theory for Matrices; References; Back CoverGeneralized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider.Texts in statistical science.Linear models (Statistics)Linear models (Statistics)519.5/36MAT029000bisacshStroup Walter W(Walter Whitney),520691MiAaPQMiAaPQMiAaPQBOOK9910797028903321Generalized linear mixed models834392UNINA