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混合指数分布顺序统计量的性质
引用本文:匡能晖.混合指数分布顺序统计量的性质[J].浙江大学学报(理学版),2011,38(2):135-149.
作者姓名:匡能晖
作者单位:湖南科技大学,数学与计算科学学院,湖南,湘潭,411201
基金项目:The Project Supported by Scientific Research Fund of Hunan Provincial Education Department(Grant No.08C588)
摘    要:设{Xs,1≤s≤n}独立同分布,X1:n,X2:n,…,Xn:n为其顺序统计量.当Xs服从参数分别为p(0〈p〈1),λ1,λ2(0〈λ1≤λ2)的混合指数分布时,得到了Xs:n的q(q为正整数)阶原点矩E(Xsq:n)(1≤s≤n)的精确表达式.证明了其顺序统计量的样本间隔不独立,且不同分布.此外还研究了其极端顺序统计量X1:n和Xn:n的渐近分布.

关 键 词:混合指数分布  顺序统计量  原点矩  渐近分布

On properties of order statistics from the mixed exponential distribution
KUANG Neng-hui.On properties of order statistics from the mixed exponential distribution[J].Journal of Zhejiang University(Sciences Edition),2011,38(2):135-149.
Authors:KUANG Neng-hui
Institution:KUANG Neng-hui(School of Mathematics and Computing Science,Hunan University of Science and Technology,Xiangtan 411201,Hunan Province,China)
Abstract:Let{Xs,1≤s≤N}be independent and identically distributed,and X1:n,X2:n,…,Xn:nbe the corresponding order statistics.When X,follows the mixed exponential distribution with parameters P(0<P<1),λ1,λ2(0<λ1≤λ2),the explicit formulas for the q order origin moments of Xs2n are obtained(q is a positive integer and 1≤s≤n).It is proved that the sample intervals of their order statistics are not independent and not identically distributed.What's more,the asymptotic distributions of their extreme order statistics X1sn,and Xn:n are discussed.
Keywords:the mixed exponential distribution  order statistic  origin moment  asymptotic distribution  
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