An Analysis of Variance for Categorical Data, II: Small Sample Comparisons with Chi Square and Other Competitors

DOI10.2307/2286014zbMath0294.62071OpenAlexW4236473643MaRDI QIDQ4046953

Richard J. Light, Barry H. Margolin

Publication date: 1974

Full work available at URL: https://doi.org/10.2307/2286014

Mathematics Subject Classification ID

Multivariate analysis (62H99) Parametric hypothesis testing (62F03) Exact distribution theory in statistics (62E15)

Related Items (13)

Improved likelihood ratio tests and pearson chi-square tests for independence in two dimensional contingency tables ⋮ Large sample results for permutation tests of association ⋮ Association between nominal categorical variables: new measure formulation based on metric distances and value validity ⋮ Exact and resampling probability values for the Piccarreta nominal–ordinal index of association ⋮ Studying the dependence between ordinal-nominal categorical variables via orthogonal polynomials ⋮ Large sample results for tests of association ii. multinomial and stratified sampling ⋮ Catanova for Two-Way Contingency Tables with Ordinal Variables Using Orthogonal Polynomials ⋮ Tests of ignoring and eliminating in nonsymmetric correspondence analysis ⋮ A probabilistic model for nonsymmetric correspondence analysis and prediction in contingency tables ⋮ The sizes of the three popular asymptotic tests for testing homogeneity of two binomial proportions ⋮ Improving the accuracy of goodness-of-fit tests based on Rao's divergence with small sample size. ⋮ Multivariate data analysis and modeling through classification and regression trees ⋮ Goodness of fit for thei ordered categories discrete uniform distribution

This page was built for publication: An Analysis of Variance for Categorical Data, II: Small Sample Comparisons with Chi Square and Other Competitors