A Note on the Kolmogorov-Feller Weak Law of Large Numbers

被引:0
作者
Yanchun YI [1 ]
Dehua QIU [2 ]
机构
[1] Department of Mathematics and Computional Science, Hengyang Normal University
[2] School of Mathematics and Statistics, Guangdong University of Finance and Economics
关键词
Kolmogorov-Feller type weak law of large numbers; negatively associated random variables; independent identically distributed random variables;
D O I
暂无
中图分类号
O211.4 [极限理论];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, the Kolmogorov-Feller type weak law of large numbers are obtained,which extend and improve the related known works in the literature.
引用
收藏
页码:223 / 228
页数:6
相关论文
共 7 条
[1]   同分布的NA序列加权和的强大数律 [J].
邱德华 ;
杨向群 .
数学研究与评论, 2006, (04) :778-784
[2]  
Moment inequalities and weak convergence for negatively associated sequences[J]. 苏淳,赵林城,王岳宝. Science in China,Ser.A. 1997(02)
[3]  
An Extension of the Kolmogorov–Feller Weak Law of Large Numbers with an Application to the St. Petersburg Game[J] . A. Gut. Journal of Theoretical Probability . 2004 (3)
[4]   A comparison theorem on moment inequalities between negatively associated and independent random variables [J].
Shao, QM .
JOURNAL OF THEORETICAL PROBABILITY, 2000, 13 (02) :343-356
[5]   NEGATIVE ASSOCIATION OF RANDOM-VARIABLES, WITH APPLICATIONS [J].
JOAGDEV, K ;
PROSCHAN, F .
ANNALS OF STATISTICS, 1983, 11 (01) :286-295
[6]   SOME CONCEPTS OF NEGATIVE DEPENDENCE [J].
BLOCK, HW ;
SAVITS, TH ;
SHAKED, M .
ANNALS OF PROBABILITY, 1982, 10 (03) :765-772
[7]   POSITIVE DEPENDENCE IN MULTIVARIATE DISTRIBUTIONS [J].
ALAM, K ;
SAXENA, KML .
COMMUNICATIONS IN STATISTICS PART A-THEORY AND METHODS, 1981, 10 (12) :1183-1196