An Introduction to Generalized Linear Models, Second Edition

Dobson, Annette J.; Dobson, Annette .J.

ISBN 10: 1584881658 / ISBN 13: 9781584881650

Published by Chapman and Hall/CRC (edition 2), 2001

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 1584881658-8-1

Bibliographic Details

• Title: An Introduction to Generalized Linear Models, Second Edition
• Publisher: Chapman and Hall/CRC (edition 2)
• Publication Date: 2001
• Language: English
• ISBN 10: 1584881658
• ISBN 13: 9781584881650
• Binding: Paperback
• Edition: 2.
• Condition: Very Good

About this title

Synopsis

Generalized linear models provide a unified theoretical and conceptual framework for many of the most commonly used statistical methods. In the ten years since publication of the first edition of this bestselling text, great strides have been made in the development of new methods and in software for generalized linear models and other closely related models.

Thoroughly revised and updated, An Introduction to Generalized Linear Models, Second Edition continues to initiate intermediate students of statistics, and the many other disciplines that use statistics, in the practical use of these models and methods. The new edition incorporates many of the important developments of the last decade, including survival analysis, nominal and ordinal logistic regression, generalized estimating equations, and multi-level models. It also includes modern methods for checking model adequacy and examples from an even wider range of application.

Statistics can appear to the uninitiated as a collection of unrelated tools. An Introduction to Generalized Linear Models, Second Edition illustrates how these apparently disparate methods are examples or special cases of a conceptually simple structure based on the exponential family of distribution, maximum likelihood estimation, and the principles of statistical modelling.

About the Author

Dobson, Department of Statistics and Centre for Clinical Epidemiology and Biostatistics, University of Newcastle, Australia.