Resampling from centered data in the two-sample problem

DOI10.1016/0378-3758(89)90051-7zbMath0666.62018OpenAlexW2056356823WikidataQ127646829 ScholiaQ127646829MaRDI QIDQ1116575

Noël Veraverbeke, Paul Janssen, Dennis D. Boos

Publication date: 1989

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: http://www.lib.ncsu.edu/resolver/1840.4/8306

zbMATH Keywords

resamplingBootstrapresidualstwo-sample problemV-statisticsdistribution of U- statisticsnuisance location parameterspermutation approximationstesting for homogeneity of scale

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20)

Related Items (11)

Two new data-dependent choices ofmwhen applying them-out-of-nbootstrap to hypothesis testing ⋮ Bootstrapping the general linear hypothesis test ⋮ Testing hypotheses about covariance matrices using bootstrap methods ⋮ A comparison of tests of equality of variances ⋮ Bootstrap- and permutation-based inference for the Mann-Whitney effect for right-censored and tied data ⋮ Resampling unbalanced ranked set samples with applications in testing hypothesis about the population mean ⋮ Comparing variances and other measures of dispersion ⋮ Introduction to the bootstrap world ⋮ An update on ‘a comparative study of tests for homogeneity of variance’ ⋮ Distance‐Based Tests for Homogeneity of Multivariate Dispersions ⋮ Discussion about the quality of F-ratio resampling tests for comparing variances

Cites Work

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• The effects on convergence of substituting parameter estimates into U- statistics and other families of statistics
• Some asymptotic theory for the bootstrap
• On the asymptotic normality of statistics with estimated parameters
• On the asymptotic accuracy of Efron's bootstrap
• Almost sure convergence of generalized U-statistics
• Bootstrap Methods for Testing Homogeneity of Variances
• Comparing K Populations with Linear Rank Statistics
• Some Results on the Complete and Almost Sure Convergence of Linear Combinations of Independent Random Variables and Martingale Differences
• Consistency and Unbiasedness of Certain Nonparametric Tests
• NON-NORMALITY AND TESTS ON VARIANCES

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