Almost Sure Convergence of Extreme Order Statistics

dc.creatorPeng, Zuoxiang
dc.creatorLi, Jiaona
dc.creatorNadarajah, Saralees
dc.date2008-10-03
dc.date.accessioned2026-07-07T10:07:26Z
dc.date.available2026-07-07T10:07:26Z
dc.descriptionLet $M_n^{(k)}$ denote the $k$th largest maximum of a sample $(X_1,X_2,...,X_n)$ from parent $X$ with continuous distribution. Assume there exist normalizing constants $a_n>0$, $b_n\in \mathbb{R}$ and a nondegenerate distribution $G$ such that $a_n^{-1}(M_n^{(1)}-b_n)\stackrel{w}{\to}G$. Then for fixed $k\in \mathbb{N}$, the almost sure convergence of \[\frac{1}{D_N}\sum_{n=k}^Nd_n\mathbb{I}\{M_n^{(1)}\le a_nx_1+b_n,M_n^{(2)}\le a_nx_2+b_n,...,M_n^{(k)}\le a_nx_k+b_n\}\] is derived if the positive weight sequence $(d_n)$ with $D_N=\sum_{n=1}^Nd_n$ satisfies conditions provided by Hörmann.
dc.descriptionSubmitted to 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/0810.0579
dc.identifierhttp://arxiv.org/abs/0810.0579
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/170635
dc.subjectStatistics Theory
dc.subject62F15 (Primary) 60G70, 60F15 (Secondary)
dc.titleAlmost Sure Convergence of Extreme Order Statistics
dc.typetext

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