Correspondence analysis of multivariate categorical data by weighted least-squares

DOI10.1093/biomet/75.3.457zbMath0651.62054OpenAlexW2149197143MaRDI QIDQ3796565

Michael J. Greenacre

Publication date: 1988

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/75.3.457

zbMATH Keywords

weighted least-squaresprincipal componentschi-squared statisticdual scalingmultivariate categorical dataalternating least-squares algorithmtwo-way contingency tablesgeneralization of correspondence analysisleast-squares factor analysis

Mathematics Subject Classification ID

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

Related Items (10)

On quantifying different types of categorical data ⋮ Simple Correspondence Analysis: A Bibliographic Review ⋮ Tying up the loose ends in simple, multiple, joint correspondence analysis ⋮ Simple correspondence analysis using adjusted residuals ⋮ An efficient algorithm for joint correspondence analysis ⋮ A noniterative method of joint correspondence analysis ⋮ Correspondence analysis approach for finding allele associations in population genetic study ⋮ A short history of statistical association: from correlation to correspondence analysis to copulas ⋮ Detecting the Guttman effect with the help of ordinal correspondence analysis in synchrotron X-ray diffraction data analysis ⋮ Handling missing values with regularized iterative multiple correspondence analysis

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