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经验过程的欧拉强大数定律
引用本文:刘吉定,江世宏,郭光耀,娄联堂.经验过程的欧拉强大数定律[J].吉林大学学报(理学版),2007,45(6):899-902.
作者姓名:刘吉定  江世宏  郭光耀  娄联堂
作者单位:武汉工程大学 理学院, 武汉 430074
摘    要:利用经验过程中已有的概率不等式及欧拉加权系数的性质, 研究经验过程中独立同分布随机元序列的欧拉可求和性, 得到了经验过程欧拉强大数定律成立的充分条件. 在相同条件下, 将经验过程中的欧拉弱大数定律推广到强收敛情形.

关 键 词:经验过程  随机元的加权和  随机有界  大数定律  
文章编号:1671-3489(2007)06-0899-04
收稿时间:2006-12-19
修稿时间:2006-12-19

Euler Strong Law of Large Numbers for Empirical Processes
LIU Ji-ding,JIANG Shi-hong,GUO Guang-yao,LOU Lian-tang.Euler Strong Law of Large Numbers for Empirical Processes[J].Journal of Jilin University: Sci Ed,2007,45(6):899-902.
Authors:LIU Ji-ding  JIANG Shi-hong  GUO Guang-yao  LOU Lian-tang
Institution:School of Sciences, Wuhan Institute of Technology, Wuhan 430074, China
Abstract:With the probability inequality obtained in empirical processes and nature of the Euler weighting coefficients,the Euler summability of a sequence of random elements independent and identically distributed in empirical processes was investigated. The sufficient condition is obtained for the Euler strong law of large numbers in empirical processes. Under identical conditions, the Euler weak law of large numbers in empirical processes was spread to the situation of strong convergence.
Keywords:empirical processes  weighted sums of random elements  bounded in probability  law of large numbers
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