Introduction to Generalized Linear Models, Second Edition

Introduction to Generalized Linear Models, Second Edition

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Description

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.show more

Product details

  • Hardback | 240 pages
  • 154 x 240 x 14mm | 340.2g
  • Taylor & Francis Ltd
  • Chapman & Hall/CRC
  • United States
  • English
  • Revised
  • 2nd Revised edition
  • 50 black & white illustrations
  • 1584881658
  • 9781584881650
  • 1,850,445

Table of contents

Introduction. Model Fitting. Exponential Family and Generalized Linear Models. Estimation. Normal Linear Models. Binary Variables and Logistic Regression. Nominal and Ordinal Logistic Regression. Count Data, Poisson Regression, and Log-Linear Models. Survival Analysis. Clustered and Longitudinal Data.show more

Review quote

..." a unique and useful text for intermediate undergraduate teaching." -Times Higher Education Supplement "I liked Dobson's basic and relatively brief presentationThanks go to the publisher for the softcover edition and attendant modest price, another of the book's virtues besides its brevity. These attributes make this book a recommended purchase for those who need a book on logistic regression. It is a good place to start." -Technometrics, November 2002show more

Rating details

15 ratings
3.8 out of 5 stars
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4 40% (6)
3 27% (4)
2 0% (0)
1 7% (1)
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