Robust and adaptive tests for the two-sample location problem

DOI10.1007/BF01719701zbMath0792.62023OpenAlexW2318439274MaRDI QIDQ1326790

Herbert Büning

Publication date: 26 July 1994

Published in: OR Spektrum (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf01719701

zbMATH Keywords

rank testsWilcoxon testrobust testsadaptive testnonnormality\(t\)-testunequal variancesWelch testtrimmed \(t\)-testtwo-sample location problem

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric robustness (62G35) Parametric hypothesis testing (62F03) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (8)

Adaptive tests for the c-sample location problem - the case of two-sided alternatives ⋮ Adaptive tests for the c-sample location problem - the case of two-sided alternatives ⋮ An Adaptive Test for the Two-Sample Location Problem Based onU-Statistics ⋮ Robustness and efficiency of some tests for ordered alternatives in the C-Sample location problem ⋮ Adaptive Jonckheere-type tests for ordered alternatives ⋮ Robustness and power of parametric, nonparametric, robustified and adaptive tests -- the multi-sample location problem ⋮ An adaptive two-sample location-scale test of lepage type for symmetric distributions ⋮ An adaptive distribution-free test for the general two-sample problem

Cites Work

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• A monte carlo study of the studentized wilcoxon statistic for the behrens- fisher problem
• A new dimension to nonparametric tests
• The two-sample trimmed t for unequal population variances
• Robustness Against Inequality of Variances

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