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.
机构:
Tongling Univ, Coll Math & Comp Sci, Tongling 244000, Peoples R China
Soochow Univ, Ctr Financial Engn, Suzhou 215006, Peoples R China
Soochow Univ, Sch Math Sci, Suzhou 215006, Peoples R ChinaTongling Univ, Coll Math & Comp Sci, Tongling 244000, Peoples R China
Wu, Yongfeng
Peng, JiangYan
论文数: 0引用数: 0
h-index: 0
机构:
Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Peoples R ChinaTongling Univ, Coll Math & Comp Sci, Tongling 244000, Peoples R China
机构:
Zhejiang Gongshang Univ, Dept Math & Stat, Hangzhou 310035, Peoples R ChinaZhejiang Gongshang Univ, Dept Math & Stat, Hangzhou 310035, Peoples R China