Generalized Linear Models with Random Effects

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

Autorentext

Youngjo Lee **is Professor at Seoul National University, South Korea.

Inhalt

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