Chi–square tests for comparing vectors of proportions for several cluster samples

DOI10.1080/03610928608829290zbMath0602.62046OpenAlexW2082279928MaRDI QIDQ3738410

Kenneth J. Koehler, Jeffrey R. Wilson

Publication date: 1986

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928608829290

zbMATH Keywords

goodness-of-fit testsWald statisticscategorical dataDirichlet-multinomial modelcomparing vectors of proportionsindependent two-stage cluster sampleslarge sample chi-square test

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Sampling theory, sample surveys (62D05)

Related Items (2)

A covariance matrix that accounts for different degrees of extraneous variation in multinomial responses ⋮ Approximate distribution and test of fit for the clustering effect in the dirichlet multinomial model

Cites Work

• Analysis of contingency tables under cluster sampling
• Chi-Squared Tests with Survey Data
• The Analysis of Categorical Data From Complex Sample Surveys: Chi-Squared Tests for Goodness of Fit and Independence in Two-Way Tables
• Generalized Inverses, Wald's Method, and the Construction of Chi-Squared Tests of Fit
• A New Proof of the Pearson-Fisher Theorem

This page was built for publication: Chi–square tests for comparing vectors of proportions for several cluster samples