Towards a Comprehensive Approach to the Analysis of Categorical Data.

Abstract

Current methodology for the analysis of categorical data can be traced to two papers published in 1900, one by Pearson and one by Yule. The keys to the linking of their ideas have been the use of linear models and inferential tools due to Fisher. After 50 years of research, statisticians have come close to developing a comprehensive approach to categorical data problems that stresses three basic themes; interpretability, flexibility, and computability. This paper surveys the evolution of this comprehensive approach and classes of problems for which it has proven useful. A concluding section contains some speculation on unsolved methodological problems of current interest and on future developments. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADA135967

Entities

People

  • Stephen E. Fienberg

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Programs
  • Computers
  • Data Analysis
  • Data Mining
  • Data Science
  • Goodness Of Fit Tests
  • Information Science
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Statistics
  • Surveys

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Theoretical Analysis.