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NA序列下经验分布函数的渐近正态性及其应用(英文)
Asymptotic Normality of the Empirical Distribution under Negatively Associated Sequences and its Applications
【摘要】 本文在NA负相协序列下利用熟知的相依情形的大小块分割的方法,建立了经验分布函数的渐近正态性.作为在可靠性中的应用,得到了生存函数■(x)=P(X>x)估计的渐近正态性.
【Abstract】 By the well-known large and small blocks parting method for dependent situations, we establish the asymptotic normality of the Empirical Distribution Function under Negatively Associated Sequences.As its application in reliablity problems,a natural estimate (?)n(x) for the survival function (?)(x)=P(X>x)is proposed,and the asymptotic normality of n1/2[(?)n(x)-(?)(x)]is established.
【关键词】 NA列;
经验分布函数;
渐近正态性;
生存函数;
【Key words】 NA sequences; empirical distribution; survival function; asymptotic normality.;
【Key words】 NA sequences; empirical distribution; survival function; asymptotic normality.;
【基金】 the National Natural Science Foundation of China (10161004);the Natural Science Foundation of Jiangxi (0611068);Science Foundation of Shangrao Normal Gollege.
- 【文献出处】 数学研究与评论 ,Journal of Mathematical Research and Exposition , 编辑部邮箱 ,2006年03期
- 【分类号】O212
- 【被引频次】3
- 【下载频次】145