On the Strong Rates of Convergence for Arrays of Rowwise Extended Negatively Dependent Random Variables

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  • School of Mathematical Science, Anhui University
ZHENG Lu-lu(1989-), female, native of Hefei, Anhui, M.S.D., engages in probability limit theorem; WANG Xue-jun(1981-), male, native of Hefei, Anhui, an associate professor of Anhui Universiry, Ph.D., engages in probability limit theorem.

Received date: 2013-04-21

  Online published: 2020-11-26

Supported by

Supported by the National Natural Science Foundation of China(11201001); Supported by the Natural Science Foundation of Anhui Province(1208085QA03,1308085QA03); Supported by the Research Teaching Model Curriculum of Anhui University(xjyjkc1407); Supported by the Students Science Research Training Program of Anhui University(KYXL2014017);

Abstract

A general result on the strong convergence rate and complete convergence for arrays of rowwise extended negatively dependent random variables is established. As applications, some well-known results on negatively dependent random variables can be easily extended to the case of arrays of rowwise extended negatively dependent random variables. 

Cite this article

ZHENG Lu-lu, XU Chen, HUANG Xu-feng, WANG Xue-jun . On the Strong Rates of Convergence for Arrays of Rowwise Extended Negatively Dependent Random Variables[J]. Chinese Quarterly Journal of Mathematics, 2014 , 29(4) : 592 -601 . DOI: 10.13371/j.cnki.chin.q.j.m.2014.04.014

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