Partitioning a non-symmetric measure of association for three-way contingency tables
type: Item
instance of: scholarly article
title: Partitioning a non-symmetric measure of association for three-way contingency tables
zbMATH Open document ID: 1178.62063
author: Eric J. Beh
author: Biagio Simonetti
author: Luigi D'ambra
published in: Journal of Multivariate Analysis
publication date: 2007-07-19T00:00:00Z
Mathematics Subject Classification ID: 62H17
Mathematics Subject Classification ID: 62H20
zbMATH DE Number: 5173097
zbMATH Keywords: orthogonal polynomials
zbMATH Keywords: three-way contingency tables
zbMATH Keywords: Marcotorchino index
zbMATH Keywords: Gray-Williams index
zbMATH Keywords: location
zbMATH Keywords: dispersion
zbMATH Keywords: higher order components
MaRDI profile type: Publication
full work available at URL: j.jmva.2007.01.011
OpenAlex ID: W2021150800
cites work: Q3997739
cites work: Simple Correspondence Analysis of Ordinal Cross-Classifications Using Orthogonal Polynomials
cites work: Q4208753
cites work: Partitioning Pearson's Chi-Squared Statistic for a Completely Ordered Three-Way Contingency Table
cites work: Partitioning Pearson's chi-squared statistic for a partially ordered three-way contingency table
cites work: A non-iterative alternative to ordinal log-linear models
cites work: An evaluation of non-iterative methods for estimating the linear-by-linear parameter of ordinal log-linear models
cites work: Catanova for Two-Way Contingency Tables with Ordinal Variables Using Orthogonal Polynomials
cites work: Measures of Association for Cross Classifications
cites work: An Analysis of Variance for Categorical Data
cites work: Analysis of singly ordered two-way contingency tables
DOI: 10.1016/J.JMVA.2007.01.011
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description: scientific article; zbMATH DE number 5173097