Multiple Marginal Independence Testing for Pick Any/C Variables

DOI10.1080/03610910008813665zbMath1008.62521OpenAlexW2050652064MaRDI QIDQ4787650

Christopher R. Bilder, Dan Nettleton, Thomas M. Loughin

Publication date: 8 January 2003

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910008813665

zbMATH Keywords

bootstrapchi-square testcorrelated binary datacategorical datamultiple responsesurveys

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (9)

The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion) ⋮ A systematic comparison of methods for combining \(p\)-values from independent tests ⋮ Testing the equality of distributions of random vectors with categorical components. ⋮ Ranking responses in multiple-choice questions ⋮ On the First-Order Rao-Scott Correction of the Umesh-Loughin-Scherer Statistic ⋮ Testing for Conditional Multiple Marginal Independence ⋮ Modeling multiple-response categorical data from complex surveys ⋮ Mantel-Haenszel estimators of a common odds ratio for multiple response data ⋮ Modeling Association Between Two or More Categorical Variables that Allow for Multiple Category Choices

Cites Work

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• Simultaneously Modeling Joint and Marginal Distributions of Multivariate Categorical Responses
• Assessing Evidence in Multiple Hypotheses
• Testing for Association in Contingency Tables with Multiple Column Responses
• Modeling a Categorical Variable Allowing Arbitrarily Many Category Choices

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