Loglinear Models and Categorical Data Analysis with Psychometric and Econometric Applications. Revision.

Abstract

The past decade has seen the publication of a large number of books and papers on the analysis of multi-way contingency tables using loglinear and logit models. The present article presents a summary of the statistical theory that underlies much of this work, and provides some linkage to models and methods of special interest to psychometricians and econometricians. The discussion includes a review of recent and current research on the computation of maximum likelihood estimates for loglinear and logit models, especially for large multi-way contingency tables.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1982
Accession Number
ADA121969

Entities

People

  • Michael M. Meyer
  • Stephen E. Fienberg

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Analysis Of Variance
  • Computational Science
  • Computations
  • Computer Science
  • Data Analysis
  • Data Science
  • Information Science
  • Maximum Likelihood Estimation
  • New York
  • Probability
  • Random Variables
  • Social Sciences
  • Statistics
  • Surveys
  • United States
  • Vector Spaces

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Theoretical Analysis.