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Item Details
| Title:
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GENERALIZED LINEAR MODELS
A BAYESIAN PERSPECTIVE |
| By: |
Dipak K. Dey (Editor), Sujit K. Ghosh (Editor), Bani K. Mallick (Editor) |
| Format: |
Electronic book text |
| List price:
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£89.00 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1482293455 |
| ISBN 13: |
9781482293456 |
| Publisher: |
TAYLOR & FRANCIS LTD |
| Pub. date: |
25 May, 2000 |
| Series: |
Chapman & Hall/CRC Biostatistics Series |
| Pages: |
440 |
| Synopsis: |
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. |
| Publication: |
UK |
| Imprint: |
CRC Press |
| Returns: |
Non-returnable |
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