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On Order $108.50 List price:
New Hardcover
Currently out of stock.
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Other titles in the Biostatistics series:
Biostatistics #5: Generalized Linear Modelsby Dipak Dey
Synopses & ReviewsPublisher Comments: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. Book News Annotation: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, covering random effects in generalized linear mixed
models (GLMMs) with explained examples. Considers parametric and
semiparametric approaches to overdispersed GLMs, applies Bayesian
GLMs to US mortality data, and presents methods of analyzing
correlated binary data using latent variables. Describes and analyzes
item response modeling for categorical data, and provides variable
selection methods using the Gibbs sampler for Cox models. Dey is
professor and head of the department of statistics at the University
of Connecticut-Storrs.
Annotation c. Book News, Inc., Portland, OR (booknews.com) What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
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