Linear and Generalized Linear Mixed Models and Their Applications
- Author
- Jiming Jiang
- Publication Year
- 2007
- Publisher
- Springer
- Language
- English
- Document Type
- Book
- Faculty / Subject Heading
- Mathematics and Statistics
- Download Book Read book
This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and 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 has included recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models.
Keywords: Mathematics and Statistics / Regression analysis / Data analysis / Generalized linear mixed models / Linear mixed models / Linear optimization / Mathematical statistics / Model selection / Prediction / Random effects
