A monte carlo study on minimizing chi-square distances under the hypothesis of homogeneity or independence for a two-way cotingeney table

DOI10.1080/02331888908802143zbMath0668.62036OpenAlexW1979900509MaRDI QIDQ3821421

Heinz Holling, Dankmar Boehning

Publication date: 1989

Published in: Unnamed Author (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888908802143

zbMATH Keywords

distancesindependenceMonte Carlo studyhomogeneitymaximum likelihoodoptimality criteriaminimum distance estimatorsKullback-Leibler distancePearsontwo-way contingency tableNeyman chi-square

Mathematics Subject Classification ID

Point estimation (62F10) Monte Carlo methods (65C05) Contingency tables (62H17)

Cites Work

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• On minimizing chi-square distances under the hypothesis of homogeneity or independence for a two-way contingency table
• Minimum chi-square, not maximum likelihood!
• In dispraise of the exact test: Do the marginal totals of the \(2\times 2\) table contain relevent information respecting the table proportions?
• Analysis of Categorical Data by Linear Models
• An alternative to the standard Bayesian procedure for discrimination between normal linear models

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