A SUPPLEMENT TO THE STRONG LAWS FOR WEIGHTED SUMS OF φ-MIXING RANDOM VARIABLES

被引:1
|
作者
Huang, Haiwu [1 ]
Wang, Dingcheng [2 ]
Wu, Qunying [1 ]
Peng, Jiangyan [3 ]
机构
[1] Guilin Univ Technol, Coll Sci, Guilin 541004, Peoples R China
[2] Nanjing Audit Univ, Ctr Financial Engn, Nanjing 211815, Jiangsu, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 610054, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
phi-mixing random variables; Marcinkiewicz-Zygmund strong laws; weighted sums; MARCINKIEWICZ STRONG LAWS; CENTRAL-LIMIT-THEOREM; INVARIANCE-PRINCIPLE; EMPIRICAL PROCESSES; LINEAR STATISTICS; WEAK CONVERGENCE; SEQUENCES;
D O I
10.7153/jmi-08-30
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Some complete convergence theorems for linear statistics that are weighted sums = 1 aniXi are established, where {Xn; n = 1} is a sequence of. - mixing random variables and {ani; 1 = i = n, n = 1} is an array of constants. As an application, the Marcinkiewicz- Zygmund strong law of large numbers for weighted sums of. - mixing random variables is obtained.
引用
收藏
页码:417 / 425
页数:9
相关论文
共 50 条