Categorical Data Analysis by Example
eBook - ePub

Categorical Data Analysis by Example

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Categorical Data Analysis by Example

About this book

Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code

This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose. It is aimed at researchers with their own data ready to be analyzed and at students who would like an approachable alternative view of the subject.

Each new topic in categorical data analysis is illustrated with an example that readers can apply to their own sets of data. In many cases, R code is given and excerpts from the resulting output are presented. In the context of log-linear models for cross-tabulations, two specialties of the house have been included: the use of cobweb diagrams to get visual information concerning significant interactions, and a procedure for detecting outlier category combinations. The R code used for these is available and may be freely adapted. In addition, this book:

  • Uses an example to illustrate each new topic in categorical data
  • Provides a clear explanation of an important subject
  • Is understandable to most readers with minimal statistical and mathematical backgrounds
  • Contains examples that are accompanied by R code and resulting output
  • Includes starred sections that provide more background details for interested readers

Categorical Data Analysis by Example is a reference for students in statistics and researchers in other disciplines, especially the social sciences, who use categorical data. This book is also a reference for practitioners in market research, medicine, and other fields.

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Yes, you can access Categorical Data Analysis by Example by Graham J. G. Upton in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2016
Print ISBN
9781119307860
eBook ISBN
9781119307938
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Preface
  5. Acknowledgments
  6. Chapter 1: Introduction
  7. Chapter 2: Estimation and Inference for Categorical Data
  8. Chapter 3: The 2 × 2 Contingency Table
  9. Chapter 4: The I × J Contingency Table
  10. Chapter 5: The Exponential Family
  11. Chapter 6: A Model Taxonomy
  12. Chapter 7: The 2 × J Contingency Table
  13. Chapter 8: Logistic Regression with Several Explanatory Variables
  14. Chapter 9: Model Selection and Diagnostics
  15. Chapter 10: Multinomial Logistic Regression
  16. Chapter 11: Log-Linear Models for I × J Tables
  17. Chapter 12: Log-Linear Models for I × J × K Tables
  18. Chapter 13: Implications and Uses of Birch’s Result
  19. Chapter 14: Model Selection for Log-Linear Models
  20. Chapter 15: Incomplete Tables, Dummy Variables, and Outliers
  21. Chapter 16: Panel Data and Repeated Measures
  22. Appendix: R Code for Cobweb Function
  23. Index
  24. Author Index
  25. Index of Examples
  26. EULA