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.
Additional ISBNs
9780824790349, 9781420026993, 0824790340, 1420026992
Generalized Linear Models Ebook
A Bayesian Perspective
By: Dipak K. Dey
Publisher:
routledge
Print ISBN: 9780824790349, 0824790340
eText ISBN: 9781482293456, 1482293455
Edition: 1st
Copyright year: 2000
Format: PDF
Available from $ 23.18 USD
SKU: 9781482293456R90
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