Simultaneous analysis and multiple factor analysis for contingency tables: two methods for the joint study of contingency tables

DOI10.1016/J.CSDA.2008.04.020zbMath1453.62262OpenAlexW1970092616MaRDI QIDQ961764

A. Zárraga, B. Goitisolo

Publication date: 1 April 2010

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

Full work available at URL: https://doi.org/10.1016/j.csda.2008.04.020

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Contingency tables (62H17)

Related Items (3)

Application of ordinal correspondence analysis for submerged aquatic vegetation monitoring ⋮ Editorial: Special issue on correspondence analysis and related methods ⋮ Simultaneous analysis and multiple factor analysis for contingency tables: two methods for the joint study of contingency tables

Uses Software

• AFMULT
• SimultAnR
• PARAFAC

Cites Work

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• A principal axes method for comparing contingency tables: MFACT
• A synthesis of canonical variate analysis, generalised canonical correlation and Procrustes analysis
• Simultaneous analysis and multiple factor analysis for contingency tables: two methods for the joint study of contingency tables
• Canonical STATIS: biplot analysis of multi-table group structured data based on STATIS-ACT methodology
• Generalized Procrustes analysis
• Multiple factor analysis (AFMULT package)
• Singular value decomposition of matched matrices
• A generalization of principal component analysis to \(K\) sets of variables.

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