期刊名称：Sankhya. Series A, mathematical statistics and probability
印刷版ISSN：0976-836X
电子版ISSN：0976-8378
出版年度：2012
卷号：74
期号：1
页码：126-140
DOI：10.1007/s13171-012-0015-7
语种：English
出版社：Indian Statistical Institute
摘要：It is known that bootstrapping maximum for estimating the endpoint of a distribution function is inconsistent and subsample bootstrap method is needed. Under an extreme value condition, some other estimators for the endpoint have been studied in the literature, which are preferrable to the maximum in regular cases. In this paper, we show that the full sample bootstrap method is consistent for the endpoint estimator proposed by Hall ( 1982 ).
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