An Introduction to Generalized Linear Models 2nd Edition by Annette J Dobson ISBN 1584881658 978-1584881650

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Product details: 

ISBN 10:1584881658 

ISBN 13:978-1584881650 

Author:Annette J.Dobson

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.

Table of contents: 

1. Introduction
2. Model Fitting
3. Exponential Family and Generalized Linear Models
4. Estimation
5. Normal Linear Models
6. Binary Variables and Logistic Regression
7. Nominal and Ordinal Logistic Regression
8. Count Data, Poisson Regression, and Log-Linear Models
9. Survival Analysis
10. Clustered and Longitudinal Data

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Tags: Annette J Dobson, Introduction, Generalized, Linear