Generalized Linear Models : A Bayesian Perspective
Book Details
Format
Hardback or Cased Book
Book Series
Chapman & Hall/CRC Biostatistics Series
ISBN-10
0824790340
ISBN-13
9780824790349
Publisher
Taylor & Francis Inc
Imprint
CRC Press Inc
Country of Manufacture
US
Country of Publication
GB
Publication Date
May 25th, 2000
Print length
442 Pages
Weight
970 grams
Product Classification:
Probability & statisticsMaths for computer scientists
Ksh 25,200.00
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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, this work considers parametric and semiparametric approaches to overdispersed GLMs.
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.
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