This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers parametric and semiparametric approaches to overdispersed GLMs, presents methods of analyzing correlated binary data using latent variables. It also proposes a semiparametric method to model link functions for binary response data, and identifies areas of important future research and new applications of GLMs.

About the Author
Dipak K. Dey, Sujit K. Ghosh , Bani K. Mallick


Book Information
ISBN 9780824790349
Author Dipak K. Dey
Format Hardback
Page Count 442
Imprint CRC Press Inc
Publisher Taylor & Francis Inc
Weight(grams) 970g