Multiway contingency Table Analysis Applied to the Classification of Multivariate Dichotomous Populations

Abstract

Multiway contingency tables, or cross-classifications of vectors of discrete random variables, provide a useful approach to the analysis of multivariate discrete data. In the particular application the author considers herein, the individual variates are dichotomous or binary. The author uses techniques and concepts presented and discussed in previous papers.

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Document Details

Document Type
Technical Report
Publication Date
Jan 09, 1973
Accession Number
AD0754751

Entities

People

  • S. Kullback

Organizations

  • George Washington University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Classification
  • Computations
  • Data Analysis
  • Data Sets
  • Discrimination
  • Instructions
  • Military Research
  • Observation
  • Pattern Recognition
  • Probability
  • Random Variables
  • Security
  • Statistics
  • United States
  • United States Government

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.