THE ASYMPTOTIC-DISTRIBUTION OF EXTREME SUMS
成果类型:
Article
署名作者:
CSORGO, S; HAEUSLER, E; MASON, DM
署名单位:
University of Delaware; University of Munich
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/aop/1176990451
发表日期:
1991
页码:
783-811
关键词:
order-statistics
CONVERGENCE
VALUES
摘要:
Let X1,n less-than-or-equal-to ... less-than-or-equal-to X(n, n) be the order statistics of n independent random variables with a common distribution function F and let k(n) be positive integers such that k(n) --> infinity and k(n)/n --> alpha as n --> infinity, where 0 less-than-or-equal-to alpha < 1. We find necessary and sufficient conditions for the existence of normalizing and centering constants A(n) > 0 and C(n) such that the sequence [GRAPHICS] converges in distribution along subsequences of the integers {n} to nondegenerate limits and completely describe the possible subsequential limiting distributions. We also give a necessary and sufficient condition for the existence of A(n) and C(n) such that E(n) be asymptotically normal along a given subsequence, and with suitable A(n) and C(n) determine the limiting distributions of E(n) along the whole sequence {n} when F is in the domain of attraction of an extreme value distribution.
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