Ebook: Generalized linear models with random effects : unified analysis via h-likelihood
Author: Lee Youngjo, Nelder John A., Pawitan Yudi
- Tags: Linear models (Statistics), Generalized estimating equations, MATHEMATICS / Applied, MATHEMATICS / Probability & Statistics / General, Statistical Theory & Methods, Statistical Computing, Mathematics & Statistics for Engineers
- Series: Monographs on statistics and applied probability (Series) 153
- Year: 2017
- Publisher: CRC Press
- Edition: Second edition
- Language: English
- pdf
This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in variable selection and multiple testing, and new examples and applications. Read more...
Abstract: This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in variable selection and multiple testing, and new examples and applications. It includes an R package for all the methods and examples that supplement the book