The strong law of large numbers for L-statistics with dependent data

被引:5
作者
Baklanov, E. A. [1 ]
机构
[1] Novosibirsk State Univ, Novosibirsk 630090, Russia
基金
俄罗斯基础研究基金会;
关键词
Φ-mixing; Glivenko-Cantelli theorem; L-statistics; Stationary ergodic sequences; Strong law of large numbers;
D O I
10.1007/s11202-006-0108-4
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We prove the strong law of large numbers for the linear combinations of functions of order statistics (L-statistics) based on weakly dependent random variables. We also establish the Gliveriko-Cantelli theorem for phi-mixing sequences of identically distributed random variables.
引用
收藏
页码:975 / 979
页数:5
相关论文
共 6 条
[1]   Strong laws for L- and U-statistics [J].
Aaronson, J ;
Burton, R ;
Dehling, H ;
Gilat, D ;
Hill, T ;
Weiss, B .
TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY, 1996, 348 (07) :2845-2866
[2]  
Baklanov E., 2003, LITHUANIAN MATH J, V43, P125
[3]  
Gilat D, 1997, COMMENT MATH U CAROL, V38, P187
[4]  
Korolyuk V. S., 1989, THEORY U STAT
[5]  
Lin ZY., 1996, LIMIT THEORY MIXING
[6]  
Shorack GR., 1986, Empirical processes with applications to statistics