NON-SYMMETRICAL CORRESPONDENCE ANALYSIS WITH CONCATENATION AND LINEAR CONSTRAINTS

DOI10.1111/j.1467-842X.2009.00564.xzbMath1337.62122OpenAlexW2113183659MaRDI QIDQ2810409

Eric J. Beh, Luigi D'Ambra

Publication date: 1 June 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-842x.2009.00564.x

zbMATH Keywords

linear constraintsconfidence circlesGoodman-Kruskal tau indexGray-Williams measure of association

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Parametric inference under constraints (62F30) Contingency tables (62H17)

Related Items (6)

An extension of correspondence analysis based on the multiple Taguchi's index to evaluate the relationships between three categorical variables graphically: an application to the Italian football championship ⋮ Visualizing main effects and interaction in multiple non-symmetric correspondence analysis ⋮ A generalized analysis of the dependence structure by means of ANOVA ⋮ The Confidence Ellipses in Decomposition Multiple Non Symmetric Correspondence Analysis ⋮ Logarithmic minimum test for independence in three-way contingency table of small sizes ⋮ Confidence regions and other tools for an extension of correspondence analysis based on cumulative frequencies

Uses Software

• R

Cites Work

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• Principal component analysis with external information on both subjects and variables
• Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
• Alternative confidence regions for canonical variate analysis
• Catanova for multidimensional contingency tables: Nominal-scale response
• Simple Correspondence Analysis: A Bibliographic Review
• An Analysis of Variance for Categorical Data
• Measures of Association for Cross Classifications
• Confidence circles for correspondence analysis using orthogonal polynomials.

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