A principal axes method for comparing contingency tables: MFACT

DOI10.1016/S0167-9473(03)00003-3zbMath1429.62199MaRDI QIDQ956848

Mónica Bécue-Bertaut, Jérôme Pagès

Publication date: 26 November 2008

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

zbMATH Keywords

principal component analysiscorrespondence analysismultiple contingency tablesgeneralised canonical analysisprincipal axes methodsProcrustes methods

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Contingency tables (62H17)

Related Items (4)

Data breaches: goodness of fit, pricing, and risk measurement ⋮ Correspondence analysis of textual data involving contextual information: CA-GALT on principal components ⋮ Simultaneous analysis and multiple factor analysis for contingency tables: two methods for the joint study of contingency tables ⋮ Multiple factor analysis and clustering of a mixture of quantitative, categorical and frequency data

Uses Software

• AFMULT

Cites Work

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• Decompositions and biplots in three-way correspondence analysis
• Longitudinal analysis of contingency tables with application to demographic data
• Relations among \(m\) sets of measures
• Generalized Procrustes analysis
• Multiple factor analysis (AFMULT package)
• A Combined Approach to Contingency Table Analysis Using Correspondence Analysis and Log-Linear Analysis
• A generalization of principal component analysis to \(K\) sets of variables.

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