Generalized Linear Models
eBook - PDF

Generalized Linear Models

Problems with Censored, Missing, and Zero-inflated Data

  1. 243 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Generalized Linear Models

Problems with Censored, Missing, and Zero-inflated Data

About this book

Since they were first formulated in 1972, generalized linear models have enjoyed a veritable boom, with numerous applications in insurance, economics and biostatistics. Today, they are still the subject of a great deal of research.

This book provides an overview of the theory of generalized linear models. Particular attention is paid to the problems of censoring, missing data and excess zeros. Didactic and accessible, Generalized Linear Models is illustrated with exercises and numerous R codes.

With all the necessary prerequisites introduced in a step-by-step fashion, this book is aimed at students (at master's or engineering school level), as well as teachers and practitioners of mathematics and statistical modeling.

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Information

Publisher
Wiley-ISTE
Year
2025
Print ISBN
9781786307026
eBook ISBN
9781394388400
Edition
1
Topic
Computer Science
Subtopic
Data Mining
Index
Computer Science

Table of contents

  1. Cover
  2. Dedication Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Notation and Acronyms
  8. Chapter 1. Exponential Families
  9. Chapter 2. From Linear Models to GLMs
  10. Chapter 3. Censored and Missing Data in GLMs
  11. Chapter 4. Zero-Inflated Models
  12. References
  13. Index
  14. Other titles from ISTE in Mathematics and Statistics
  15. EULA

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Yes, you can access Generalized Linear Models by Jean-Francois Dupuy in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.