On the inconsistency of bootstrap distribution estimatorsHall, Peter;Härdle, Wolfgang;Simar, Léopold(1993) Computational Statistics & Data Analysis — Vol. 16, n° 1, p. 11-18 (1993)
FilesNo attached file found for this publication.DetailsAuthorsHall, PeterAustralian National UniversityAuthorHärdle, WolfgangUCLouvainAuthorSimar, LéopoldUSL-BAuthorAbstractWe show that bootstrap distribution estimators of a ranked parameter value are consistent if and only if there are no ties for the rank in question. When inconsistency occurs, the bootstrap distribution estimator does not even converge in probability. This asymptotic result has important implications for small to moderate sample sizes, where poor distribution estimators can result when there are no ties but there are two or more closely spaced parameter values competing to the same rank. Several ways of alleviating the problem of inconsistency are suggested. © 1993.Show moreAffiliationsUSL-BUCLouvainEUEN/CORE - Center for operations research and econometricsShow moreCitations APA Chicago FWB Hall, P., Härdle, W., & Simar, L. (1993). On the inconsistency of bootstrap distribution estimators. Computational Statistics & Data Analysis, 16(1), 11-18. https://doi.org/10.1016/0167-9473(93)90241-K (Original work published 1993)