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Generalized Linear Models

A Bayesian Perspective

Gebonden Engels 2000 9780824790349
€ 214,52
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Samenvatting

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.

Specificaties

ISBN13:9780824790349
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:442
Uitgever:Taylor & Francis Inc

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Inhoudsopgave

Part 1 Extending the GLMs. Part 2 Categorical and longitudinal data. Part 3 Semiparametric approaches. Part 4 Model diagnositics and value selection in GLMs. Part 5 Challenging problems in GLMs

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          Generalized Linear Models