Chapter 1. Introduction: Distributions and Inference for Categorical Data

  1. Alan Agresti

Published Online: 26 MAR 2003

DOI: 10.1002/0471249688.ch1

Categorical Data Analysis, Second Edition

Categorical Data Analysis, Second Edition

How to Cite

Agresti, A. (2003) Introduction: Distributions and Inference for Categorical Data, in Categorical Data Analysis, Second Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471249688.ch1

Author Information

  1. University of Florida, Gainesville, Florida, USA

Publication History

  1. Published Online: 26 MAR 2003
  2. Published Print: 3 JUL 2002

ISBN Information

Print ISBN: 9780471360933

Online ISBN: 9780471249689

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Keywords:

  • Poisson;
  • binomial;
  • multinomial;
  • likelihood function;
  • significance tests;
  • confidence intervals

Summary

Chapter 1 introduces probability distributions and basic methods of inference for categorical data. Main topics include the binomial, Poisson, and multinomial distributions, the Wald, score, and likelihood-ratio methods for significance tests and confidence intervals, and their application to inference about parameters of binomial and multinomial distributions.