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关于任意非负随机序列随机和的一类随机偏差定理
引用本文:汪忠志.关于任意非负随机序列随机和的一类随机偏差定理[J].应用数学,2006,19(2):275-281.
作者姓名:汪忠志
作者单位:安徽工业大学数理学院,安徽,马鞍山,243002
基金项目:SupportedbyAnhuihigheducationresearch(2004kj069,2006kj246B)
摘    要:本文引入任意随机变量序列随机极限对数似然比概念,作为任意相依随机序列联合分布与其边缘乘积分布“不相似”性的一种度量,利用构造新的密度函数方法来建立几乎处处收敛的上鞅,在适当的条件下,给出了任意受控随机序列的一类随机偏差定理.

关 键 词:随机序列  随机极限对数似然比  随机偏差定理  随机控制序列
文章编号:1001-9847(2006)02-0275-07
收稿时间:2005-05-19
修稿时间:2005年5月19日

A Class of Random Deviation Theorems for Random Sums of Nonnegative Stochastic Sequence
WANG Zhong-zhi.A Class of Random Deviation Theorems for Random Sums of Nonnegative Stochastic Sequence[J].Mathematica Applicata,2006,19(2):275-281.
Authors:WANG Zhong-zhi
Abstract:In this paper,the notion of limit random logarithmic likelihood ratio of stochastic sequences,as a measure of dissimilarity between their joint distributions and the product of their marginals,is introduced.Establish a.s.convergence super-martingale by means of constructing a new probability density function and under suitable restrict conditions,some strong random deviation theorems for arbitrary stochastic stochastically dominated random sequence are obtained.
Keywords:Random sequence  Random limit logarithmic likelihood ratio  Random deviation theorem  Stochastically dominated random sequence
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