Automatic aggregation of categories in multivariate contingency tables using information theory.

DOI10.1016/S0167-9473(98)00059-0zbMath1042.62555MaRDI QIDQ1277691

A. Gallego Segador, R. Espejo Mohedano, J. M. Caridad Ocerin

Publication date: 2 March 1999

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

Information theoryLog-linear modelsContingency tablesCollapsibilityInformation criterionMultivariate categorical data analysis

Mathematics Subject Classification ID

Contingency tables (62H17) Statistical aspects of information-theoretic topics (62B10)

Uses Software

• EXCDA

Cites Work

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• Goodness-of-Fit Tests for Log-Linear Models in Sparse Contingency Tables
• Small-Sample Comparisons of Exact Levels for Chi-Squared Goodness-of-Fit Statistics
• Pearson's X 2 and the Loglikelihood Ratio Statistic G 2 : A Comparative Review
• Goodness-of-Fit Tests for Large Sparse Multinomial Distributions
• Some Methods for Strengthening the Common χ 2 Tests

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