A rigorous lower confidence bound for the expectation of a positive random variable

dc.creatorGat, Yoram
dc.date2008-10-08
dc.date2008-10-27
dc.date.accessioned2026-07-07T10:12:57Z
dc.date.available2026-07-07T10:12:57Z
dc.descriptionGiven an IID sample from a positive distribution, we provide a method for constructing rigorous finite sample lower confidence bounds for the expectation of the distribution. The method is based on constructing rigorous confidence regions for the cdf of the distribution. We provide some analysis of the asymptotical behavior of the rigorous LCBs. We apply the method to obtain an LCB for a particular, controversial, empirical data set, where the validity of standard methods has been called into question.
dc.descriptionPublished in at http://dx.doi.org/10.1214/08-EJS308 the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0810.1374
dc.identifierhttp://arxiv.org/abs/0810.1374
dc.identifierElectronic Journal of Statistics 2008, Vol. 2, No. 0, 1021-1027
dc.identifierdoi:10.1214/08-EJS308
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/172361
dc.subjectStatistics Theory
dc.subject62G15 (Primary) 62G30 (Secondary)
dc.titleA rigorous lower confidence bound for the expectation of a positive random variable
dc.typetext

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