A two-sample test for location

DOI10.1080/03610928808829752zbMath0642.62030OpenAlexW1973992147MaRDI QIDQ3783377

Zakkula Govindarajulu, Ishwar D. Shetty

Publication date: 1988

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

Full work available at URL: https://doi.org/10.1080/03610928808829752

zbMATH Keywords

heavy-tailed distributionsU-statisticsnew testtwo-sample location problem

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Parametric hypothesis testing (62F03)

Related Items (17)

A generalized Wilcoxon-Mann-Whitney type test for multivariate data through pairwise distance ⋮ Distribution-free test for homogeneity against ordered alternatives ⋮ A class of k-sample distribution-free tests for location against ordered alternatives ⋮ A new class of distribution-free tests for testing ordered location parameters based on sub-samples ⋮ A class of distribution-free tests for testing homogeneity against ordered location alternatives ⋮ A nonparametric test for a two-sample scale problem based on subsample medians ⋮ A generalized wilcoxon-mann-whitney statistic ⋮ A one- sample test based on subsamples medians ⋮ A New Class of Distribution-Free Tests for Location Parameters ⋮ SUB-SAMPLE MANN–WHITNEY–WILCOXON TEST ⋮ A data-adaptive methodology for finding an optimal weighted generalized Mann-Whitney-Wilcoxon statistic ⋮ Algorithm-based distribution of two-sample statistics ⋮ A class of two-sample tests for location based on sub-sample medians ⋮ A weighted generalization of the Mann-Whitney-Wilcoxon statistic ⋮ Generalizing the mann-whitney-wilcoxon statistic ⋮ A new nonparametric bivariate test for two sample location problem ⋮ A note on the generalization of Mathisen's median test

Cites Work

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• A Two-Sample Adaptive Distribution-Free Test
• Percentile Modifications of Two Sample Rank Tests
• A Class of Statistics with Asymptotically Normal Distribution
• On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
• Some Rank Order Tests which are most Powerful Against Specific Parametric Alternatives

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