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 var
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 var
Youngjo Lee is Professor at Seoul National University, South Korea.
Inhaltsangabe
Preface to the first edition Preface Introduction Classical likelihood theory Generlized linear models Quasi-likelihood Extended likelihood inferences Normal linear mixed models Hierarchical GLMS HGLMs with structured dispersion Correlated randoms effects for HGLMs Smoothing Double HGLMs Variable Selection and Sparsity Models Multivariate and Missing Data Analysis Multiple testing References Data index Author index Subject index
Preface to the first edition Preface Introduction Classical likelihood theory Generlized linear models Quasi-likelihood Extended likelihood inferences Normal linear mixed models Hierarchical GLMS HGLMs with structured dispersion Correlated randoms effects for HGLMs Smoothing Double HGLMs Variable Selection and Sparsity Models Multivariate and Missing Data Analysis Multiple testing References Data index Author index Subject index
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