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任意连续型随机变量序列关于广义赌博系统的一类强偏差定理

A class of strong deviation theorems on generalized gambling system for the sequence of arbitrary continuous random variables
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摘要 设{Xn,n≥0}是任意相依的连续型随机变量序列,{Yn,n≥1}为一列广义随机选择函数.{Bn,n≥0}是实直线上的Borel集,IBn为Bn的示性函数.文中采用构造n元乘积密度函数及非负上鞅的方法,研究{YnIBn(Xn),n≥1}的极限性质,得到相依连续型随机变量序列的一类强偏差定理,其偏差依赖于样本点. Let {Xn,n≥0}be an arbitrary sequence of dependent continuous random variables,{Yn,n≥1}be a series of generalized random selection functions,{Bn,n≥0} be Borel sets on the real line,and IBnbe the indicator function of Bn.The limit properties of {YnIBn(Xn),n≥1} are studied by constructing n variable product density functions and super martingale,and a class of strong deviation theorems represented by the equalities are obtained.The bounds of the deviation depend on sample points.
出处 《江苏科技大学学报(自然科学版)》 CAS 北大核心 2011年第2期195-199,共5页 Journal of Jiangsu University of Science and Technology:Natural Science Edition
基金 国家自然科学基金资助项目(11072107) 江苏省高校自然科学基金资助项目(09KJD110002)
关键词 连续型随机序列 似然比 广义随机选择 sequence of continuous random variables likelihood ratio generalized random selection
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