On Chung’s Law of Large Numbers for Arrays of Extended Negatively Dependent Random Variables

Authors

  • Haiwu Huang College of Mathematics and Statistics, Hengyang Normal University, Hengyang, PR China
  • Yanchun Yi College of Mathematics and Statistics, Hengyang Normal University, Hengyang, PR China
  • Andrei Volodin Department of Mathematics and Statistics, University of Regina, Regina, Saskatchewan, Canada
  • Sujitta Suraphee Research Unit on Statistics and Applied Statistics, Department of Mathematics, Faculty of Science, Mahasarakham University, Maha Sarakham, Thailand

Keywords:

Arrays of rowwise extended negatively dependent random variables, complete convergence, complete qth moment convergence, Lq convergence

Abstract

In this article, we present some sharp convergence results for partial sums of arrays of rowwise extended negatively dependent random variables. These results are established without assumptions of the identical distribution and stochastic domination. The results generalize and improve the corresponding results of Hu and Taylor (1997), Wu and Zhu (2010), and Wu et al. (2014).

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Published

2021-03-29

How to Cite

Huang, H. ., Yi, Y. ., Volodin, A. ., & Suraphee, S. . (2021). On Chung’s Law of Large Numbers for Arrays of Extended Negatively Dependent Random Variables. Thailand Statistician, 19(2), 270–279. Retrieved from https://ph02.tci-thaijo.org/index.php/thaistat/article/view/243850

Issue

Vol. 19 No. 2 (2021): April

Section

Articles