Some Strong Deviation Theorems for Dependent Continuous Random Sequence

作     者：FAN Ai-hua FAN Ai-hua

作者机构：Faculty of Mathematics and PhysicsAnhui University of TechnologyMa＇anshan 243002China 

出 版 物：《Chinese Quarterly Journal of Mathematics》 (数学季刊（英文版）)

年 卷 期：2010年第25卷第4期

页      面：572-577页

核心收录：

学科分类：02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 070103[理学-概率论与数理统计] 0701[理学-数学] 

基　　金：Supported by Anhui High Education Research(2006Kj246B) 

主　　题：limit asymptotic logarithm likelihood ratio random sequence strong deviation theorem 

摘      要：Let {Xn,n ≥ 1} be a sequence of arbitrary continuous random variables,we introduce the notion of limit asymptotic logarithm likelihood ratio r（ω）,as a measure of dissimilarity between probability measure P and reference measure *** get some strong deviation theorems for the partial sums of arbitrary continuous random variables under Chung-Teicher＇s type conditions[6-7].