Partitioning a non-symmetric measure of association for three-way contingency tables

DOI10.1016/j.jmva.2007.01.011zbMath1178.62063OpenAlexW2021150800MaRDI QIDQ996980

Eric J. Beh, Biagio Simonetti, Luigi D'Ambra

Publication date: 19 July 2007

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2007.01.011

zbMATH Keywords

orthogonal polynomialsdispersionlocationGray-Williams indexhigher order componentsMarcotorchino indexthree-way contingency tables

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Contingency tables (62H17)

Related Items (14)

Modelling trends in ordered correspondence analysis using orthogonal polynomials ⋮ A Bayesian approach to the analysis of asymmetric association for two-way contingency tables ⋮ An approach to multiway contingency tables based on \(\phi \)-divergence test statistics ⋮ Three-way association measure decompositions: the Delta index ⋮ On partial and conditional association measures for ordinal contingency tables ⋮ The analysis of dependence for three ways contingency tables with ordinal variables: A case study of patient satisfaction data ⋮ Familywise decompositions of Pearson's chi-square statistic in the analysis of contingency tables ⋮ A dimensional reduction method for ordinal three-way contingency table ⋮ CATANOVA for two-way cross classified categorical data ⋮ Simple correspondence analysis of nominal-ordinal contingency tables ⋮ Calculating Bivariate Orthonormal Polynomials By Recurrence ⋮ Logarithmic minimum test for independence in three-way contingency table of small sizes ⋮ Symmetrical and non-symmetrical variants of three-way correspondence analysis for ordered variables ⋮ Multiple correspondence analysis via polynomial transformations of ordered categorical variables

Cites Work

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• An Analysis of Variance for Categorical Data
• Catanova for Two-Way Contingency Tables with Ordinal Variables Using Orthogonal Polynomials
• Measures of Association for Cross Classifications
• AN EVALUATION OF NON‐ITERATIVE METHODS FOR ESTIMATING THE LINEAR‐BY‐LINEAR PARAMETER OF ORDINAL LOG‐LINEAR MODELS

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