φ混合序列加权和的完全收敛性

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  • 1. Department of Finance and Economics, Hefei Economic and Trade Tourism School2. Department of Statistics, Anhui University
LIU Ting-ting(1987-), female, native of Luan, Anhui, an assistant of Hefei Economic and Trade Tourism School, M.S.D., engages in probability theory and mathmatical statistocs.

收稿日期: 2014-08-23

  网络出版日期: 2020-10-23

基金资助

Supported by the National Natural Science Foundation of China(11671012,11526033,11501004,11501005); Supported by the Natural Science Foundation of Anhui Province(1608085QA02); Supported by the Science Fund for Distinguished Young Scholars of Anhui Province(1508085J06);

Complete Convergence for Weighted Sums of \tilde{φ} -mixing Sequence

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  • 1. Department of Finance and Economics, Hefei Economic and Trade Tourism School2. Department of Statistics, Anhui University
LIU Ting-ting(1987-), female, native of Luan, Anhui, an assistant of Hefei Economic and Trade Tourism School, M.S.D., engages in probability theory and mathmatical statistocs.

Received date: 2014-08-23

  Online published: 2020-10-23

Supported by

Supported by the National Natural Science Foundation of China(11671012,11526033,11501004,11501005); Supported by the Natural Science Foundation of Anhui Province(1608085QA02); Supported by the Science Fund for Distinguished Young Scholars of Anhui Province(1508085J06);

摘要

In this paper, the complete convergence and strong law of large numbers for weighted sums of φ-mixing sequence with different distribution are investigated under some weaker moment conditions. Our results extend ones of independent sequence with identical distribution to the case of φ-mixing sequence with different distribution. 

本文引用格式

刘婷婷, 王学军, 王星惠 . φ混合序列加权和的完全收敛性[J]. 数学季刊, 2017 , 32(2) : 161 -171 . DOI: 10.13371/j.cnki.chin.q.j.m.2017.02.006

Abstract

In this paper, the complete convergence and strong law of large numbers for weighted sums of φ-mixing sequence with different distribution are investigated under some weaker moment conditions. Our results extend ones of independent sequence with identical distribution to the case of φ-mixing sequence with different distribution. 
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