Functional asymptotic confidence intervals for a common mean of independent random variables

dc.creatorMartsynyuk, Yuliya V.
dc.date2009-01-29
dc.date.accessioned2026-07-07T12:35:34Z
dc.date.available2026-07-07T12:35:34Z
dc.descriptionWe consider independent random variables (r.v.'s) with a common mean $μ$ that either satisfy Lindeberg's condition, or are symmetric around $μ$. Present forms of existing functional central limit theorems (FCLT's) for Studentized partial sums of such r.v.'s on $D[0,1]$ are seen to be of some use for constructing asymptotic confidence intervals, or what we call functional asymptotic confidence intervals (FACI's), for $μ$. In this paper we establish completely data-based versions of these FCLT's and thus extend their applicability in this regard. Two special examples of new FACI's for $μ$ are presented.
dc.descriptionPublished in at http://dx.doi.org/10.1214/08-EJS233 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/0901.4628
dc.identifierhttp://arxiv.org/abs/0901.4628
dc.identifierElectronic Journal of Statistics 2009, Vol. 3, 25-40
dc.identifierdoi:10.1214/08-EJS233
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/217806
dc.subjectStatistics Theory
dc.subject60F17, 60G50, 62G15 (Primary)
dc.titleFunctional asymptotic confidence intervals for a common mean of independent random variables
dc.typetext

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