Generalized Linear Models

• Main Authors: McCullagh, P. (Peter) 1952- (Author), Nelder, John A. (Author)
• Format: Manuscript
• Published: London Chapman and Hall 1989
• Edition: Second Edition
• Subjects: Linear models (Statistics); Mathematical statistics
• Online Access: Click Here to View Status and Holdings.

 The Second Edition includes topics added to the core of the first edition, including conditional and marginal likelihood methods, estimating equations, and models for dispersion effects and components of dispersion. The discussion of other topics-log-linear and related models, log odds-ratio regression models, multinomial response models, inverse linear and related models, quasi-likelihood functions, and model checking-was expanded and incorporates significant revisions.Comprehension of the material requires simply a knowledge of matrix theory and the basic ideas of probability theory, but for the most part, the book is self-contained. Therefore, with its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference.