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Applying Generalized Linear Models

  • Textbook
  • © 1997

Overview

Authors:
  1. James K. Lindsey

    1. Department of Biostatistics, Limburgs Universitair Centrum, Diepenbeek, Belgium

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Part of the book series: Springer Texts in Statistics (STS)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Generalized Linear Modelling

    Pages 1-26

  3. Discrete Data

    Pages 27-47

  4. Fitting and Comparing Probability Distributions

    Pages 49-68

  5. Growth Curves

    Pages 69-86

  6. Time Series

    Pages 87-107

  7. Survival Data

    Pages 109-119

  8. Event Histories

    Pages 121-140

  9. Spatial Data

    Pages 141-158

  10. Normal Models

    Pages 159-171

  11. Dynamic Models

    Pages 173-196

  12. Back Matter

    Pages 197-257
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Keywords

About this book

Applying Generalized Linear Models describes how generalized linear modelling procedures can be used for statistical modelling in many different fields, without becoming lost in problems of statistical inference. Many students, even in relatively advanced statistics courses, do not have an overview whereby they can see that the three areas - linear normal, categorical, and survival models - have much in common. The author shows the unity of many of the commonly used models and provides the reader with a taste of many different areas, such as survival models, time series, and spatial analysis. This book should appeal to applied statisticians and to scientists with a basic grounding in modern statistics. With the many exercises included at the ends of chapters, it will be an excellent text for teaching the fundamental uses of statistical modelling. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, and should be familiar at least with the analysis of the simpler normal linear models, regression and ANOVA. The author is professor in the biostatistics department at Limburgs University, Diepenbeek, in the social science department at the University of Liège, and in medical statistics at DeMontfort University, Leicester. He is the author of nine other books.

Reviews

From a review:

TECHNOMETRICS

"...one of the best applied statistical books that I have ever read."

Authors and Affiliations

  • Department of Biostatistics, Limburgs Universitair Centrum, Diepenbeek, Belgium

    James K. Lindsey

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