Two new data-dependent choices ofmwhen applying them-out-of-nbootstrap to hypothesis testing

DOI10.1080/00949655.2010.519338zbMath1327.62271OpenAlexW1975155394MaRDI QIDQ5300736

L. Santana, J. S. Allison, Jan W. H. Swanepoel

Publication date: 28 June 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2010.519338

zbMATH Keywords

hypothesis testcritical value\(p\)-value\(m\)-out-of-\(n\) bootstrapresample size selection

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric statistical resampling methods (62G09)

Cites Work

• Unnamed Item
• Variance estimation for sample quantiles using the \(m\) out of \(n\) bootstrap
• Bootstrap hypothesis testing for some common statistical problems: a critical evaluation of size and power properties
• Bootstrap of the mean in the infinite variance case
• Resampling from centered data in the two-sample problem
• Some asymptotic theory for the bootstrap
• Bootstrap methods: another look at the jackknife
• On the asymptotic accuracy of the bootstrap under arbitrary resampling size
• Optimal Bootstrap Sample Size in Construction of Percentile Confidence Bounds
• A note on proving that the (modified) bootstrap works
• Bootstrap Methods for Testing Homogeneity of Variances
• On a Class of m out of n Bootstrap Confidence Intervals
• Adaptive choice of bootstrap sample sizes
• Empirical likelihood tests for two-sample problems via nonparametric density estimation
• Modified bootstrap consistency rates for \(U\)-quantiles

This page was built for publication: Two new data-dependent choices ofmwhen applying them-out-of-nbootstrap to hypothesis testing