Generalized Linear Models

Name: Generalized Linear Models
Brand: Taylor & Francis Ltd
Price: 128.99 AUD
Availability: BackOrder

A Bayesian Perspective

By: Dipak K. Dey (Editor), Sujit K. Ghosh (Editor), Bani K. Mallick (Editor)

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Paperback | 1 November 2019 | Edition Number 1

At a Glance

Paperback
442 Pages

Dimensions(cm)
24.6 x 17.4 x 3.3

Paperback

RRP $143.00

$128.99

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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.

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