Generalized Linear Models
A Bayesian Perspective
Published on 25. May 2000
440 pages
978-1-040-21915-7 (ISBN)
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
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
File size
4,11 MB
ISBN-13
978-1-040-21915-7 (9781040219157)
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Schweitzer Classification
Other editions
Additional editions
Book
11/2019
1st Edition
CRC Press
€84.17
Shipment within 15-20 days
Book
05/2000
1st Edition
CRC Press
€160.94
Shipment within 15-20 days
Persons
Dipak K. Dey, Sujit K. Ghosh , Bani K. Mallick
Content
Part 1 Extending the GLMs. Part 2 Categorical and longitudinal data. Part 3 Semiparametric approaches. Part 4 Model diagnositics and value selection in GLMs. Part 5 Challenging problems in GLMs
