Generalized Linear Models : A Bayesian Perspective Hardback
Edited by Dipak K. Dey, Sujit K. Ghosh, Bani K. Mallick
Part of the Chapman & Hall/CRC Biostatistics Series series
Hardback
- Information
Description
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.
Information
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Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:442 pages
- Publisher:Taylor & Francis Inc
- Publication Date:25/05/2000
- Category:
- ISBN:9780824790349
£120.00
£96.92
Information
-
Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:442 pages
- Publisher:Taylor & Francis Inc
- Publication Date:25/05/2000
- Category:
- ISBN:9780824790349
