An Introduction to Generalized Linear Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Dobson, Annette J.

ISBN 10: 1584881658 / ISBN 13: 9781584881650

Published by Chapman And Hall/Crc, 2002

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:9781584881650.

Seller Inventory # 9628603

Bibliographic Details

• Title: An Introduction to Generalized Linear Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
• Publisher: Chapman And Hall/Crc
• Publication Date: 2002
• Language: English
• ISBN 10: 1584881658
• ISBN 13: 9781584881650
• Binding: Soft cover
• Edition: 2nd Edition
• Condition: Good
• Weight: 400 grams
• Seller catalogs:
  • Mathematics

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.

Product Description

Unusual book