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Generalized Linear Models - A Bayesian Perspective (Hardcover) Loot Price: R4,102
Discovery Miles 41 020
Repayment Terms: R384 pm x 12*
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Generalized Linear Models - A Bayesian Perspective (Hardcover): Dipak K. Dey, Sujit K. Ghosh, Bani K. Mallick

Generalized Linear Models - A Bayesian Perspective (Hardcover)

Dipak K. Dey, Sujit K. Ghosh, Bani K. Mallick

Series: Chapman & Hall/CRC Biostatistics Series

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Loot Price R4,102 Discovery Miles 41 020 | Repayment Terms: R384 pm x 12*

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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.

General

Imprint: Crc Press
Country of origin: United States
Series: Chapman & Hall/CRC Biostatistics Series
Release date: May 2000
First published: 2000
Editors: Dipak K. Dey • Sujit K. Ghosh • Bani K. Mallick
Dimensions: 246 x 174 x 26mm (L x W x T)
Format: Hardcover
Pages: 442
ISBN-13: 978-0-8247-9034-9
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
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LSN: 0-8247-9034-0
Barcode: 9780824790349

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