Sufficient m-out-of-n (m/n) bootstrap

DOI10.1080/00949655.2017.1284847OpenAlexW2583423661MaRDI QIDQ5106884

Ufuk Beyaztas, Aylin Alin, Michael A. Martin, Pramod K. Pathak

Publication date: 22 April 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2017.1284847

zbMATH Keywords

simulationasymptotic normalityfinite populationsufficient bootstrap\(m/n\) bootstrapnaïve bootstrap

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric statistical resampling methods (62G09)

Related Items (max. 100)

General \(M\)-estimator processes and their \(m\) out of \(n\) bootstrap with functional nuisance parameters ⋮ Density estimation using bootstrap quantile variance and quantile-mean covariance ⋮ Kernel density estimation based on the distinct units in sampling with replacement

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• Optimal Bootstrap Sample Size in Construction of Percentile Confidence Bounds
• A note on proving that the (modified) bootstrap works

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