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Contingency Table Analysis

Methods and Implementation Using R

  • Maria Kateri

Part of the Statistics for Industry and Technology book series (SIT)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Maria Kateri
    Pages 1-15
  3. Maria Kateri
    Pages 17-61
  4. Maria Kateri
    Pages 63-83
  5. Maria Kateri
    Pages 85-124
  6. Maria Kateri
    Pages 125-152
  7. Maria Kateri
    Pages 153-196
  8. Maria Kateri
    Pages 233-259
  9. Maria Kateri
    Pages 261-269
  10. Back Matter
    Pages 271-304

About this book

Introduction

Combining theory and applications, this book presents models and methods for the analysis of two‐ and multi‐dimensional contingency tables. The author uses a threefold approach: fundamental models and related inferences are presented, their interpretational aspects are highlighted, and their practical usefulness is demonstrated. Throughout, practical guidance for using R is provided along with a comprehensive R-functions web-appendix.

 

Contingency tables arise in diverse fields, including the life, pedagogic, social and political sciences. They also play a prominent role in market research and opinion surveys. The analysis of contingency tables can provide insight into essential structures, relevant quantities and their interactions, and thus leads to improved decision-making.

 

Special features include:

 

·         A motivating example for each topic

·         Applications and implementations in R for all models discussed

·         Emphasis on association and symmetry models

·         Extensive bibliography

·         Up-to-date supplementary material available on the author’s website

 

An excellent reference for graduate students, researchers, and practitioners in statistics as well as in the biosciences and social sciences, Contingency Table Analysis may also be used as a supplementary textbook for courses on categorical data analysis with emphasis on special models for ordinal data. Prerequisites include basic background knowledge of statistical inference.

Keywords

BUGS Bayesian inference R S-PLUS SPSS categorical classification variable categorical data commensurable classification variables contingency tables exact inference

Authors and affiliations

  • Maria Kateri
    • 1
  1. 1.Institute of StatisticsRWTH Aachen UniversityAachenGermany

Bibliographic information