Title: Generalized Linear Models: A Bayesian Perspective (Chapman & Hall/CRC Biostatistics Series)
Publisher: Taylor & Francis Group
Publication Date: 2000
Language: English
ISBN 10: 0824790340
ISBN 13: 9780824790349
Binding: Hardcover
Condition: New

About this title

Synopsis

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

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