On the strong convergence for weighted sums of negatively superadditive dependent random variables

Journal of Inequalities and Applications

卷:2017

Qunying Wu¹  Dingcheng Wang²  Bing Meng² 

[1] College of Science, Guilin University of Technology;

[2] School of Mathematical Science, University of Electronic Science and Technology of China;

关键词: negatively superadditive dependent random variables;    strong convergence;    weighted sums;   

DOI  :  10.1186/s13660-017-1530-9

来源: DOAJ

【 摘 要 】

Abstract In this article, some strong convergence results for weighted sums of negatively superadditive dependent random variables are studied without assumption of identical distribution. The results not only generalize the corresponding ones of Cai (Metrika 68:323-331, 2008) and Sung (Stat. Pap. 52:447-454, 2011), but also extend and improve the corresponding one of Chen and Sung (Stat. Probab. Lett. 92:45-52, 2014).

【 授权许可】

Unknown