Resampling schemes with low resampling intensity and their applications in testing hypotheses

DOI10.1016/j.jspi.2008.04.002zbMath1149.62035OpenAlexW1969713433MaRDI QIDQ958771

Carlos Matrán, Eustasio del Barrio, Arnold Janssen

Publication date: 8 December 2008

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

Full work available at URL: https://doi.org/10.1016/j.jspi.2008.04.002

zbMATH Keywords

bootstrapresamplingwild bootstraprobust testinglow intensityexchangeable weightstwo-sample permutation statistics

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Nonparametric statistical resampling methods (62G09)

Related Items (5)

On the low intensity bootstrap for triangular arrays of independent identically distributed random variables ⋮ Weighted resampling of martingale difference arrays with applications ⋮ Bootstrapping Aalen-Johansen processes for competing risks: handicaps, solutions, and limitations ⋮ Subsampling versus bootstrapping in resampling-based model selection for multivariable regression ⋮ Discussion about the quality of F-ratio resampling tests for comparing variances

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