Precise asymptotics in the law of iterated logarithm for the first moment convergence of i.i.d. random variables

被引:2
作者
Xiao, Xiaoyong [1 ]
Yin, Hongwei [1 ]
机构
[1] Nanchang Univ, Dept Math, Nanchang 330031, Peoples R China
关键词
Moment convergence; The law of iterated logarithm; I.i.d. random variables; LARGE NUMBERS;
D O I
10.1016/j.spl.2012.04.019
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Let {X, X-n, n >= 1) be a sequence of i.i.d. random variables and set S-n = Sigma(n)(i=1) X-j. N is the standard normal random variable, then for d > 0 and beta > 0, we show that lim(epsilon SE arrow 0) epsilon(2 beta/d) Sigma(infinity)(n=3) (log log n)(beta-1)/n(3/2) log n E{|S-n| - epsilon sigma root n(log log n)(d/2)}+ = d sigma E|N|(2 beta/d+1/)beta(2 beta + d) holds if and only if EX = 0, EX2 = sigma(2). (c) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:1590 / 1596
页数:7
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