This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. The book offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it includes recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models. The book is aimed at students, researchers and other practitioners who are interested in using mixed models for statistical data analysis.
- ISBN10 0387479465
- ISBN13 9780387479460
- Publish Date 1 January 2007
- Publish Status Active
- Publish Country US
- Imprint Springer-Verlag New York Inc.
- Format eBook
- Pages 257
- Language English