Complete Convergence for Weighted Sums of Negatively Superadditive Dependent Random Variables

Authors

  • Yu Zhou School of Mathematical Sciences, Anhui University, Hefei, Anhui 230601, P.R. China
  • Fengxi Xia School of Mathematical Sciences, Anhui University, Hefei, Anhui 230601, P.R. China
  • Yan Chen School of Mathematical Sciences, Anhui University, Hefei, Anhui 230601, P.R. China
  • Xuejun Wang School of Mathematical Sciences, Anhui University, Hefei, Anhui 230601, P.R. China

DOI:

https://doi.org/10.4208/jms.v47n3.14.04

Keywords:

Negatively superadditive dependent random variables, Rosenthal type inequality, complete convergence.

Abstract

Let $\{X_n,n\geq1\}$ be a sequence of negatively superadditive dependent (NSD, in short) random variables and $\{a_{nk}, 1\leq k\leq n, n\geq1\}$ be an array of real numbers. Under some suitable conditions, we present some results on complete convergence for weighted sums $\sum_{k=1}^na_{nk}X_k$ of NSD random variables by using the Rosenthal type inequality. The results obtained in the paper generalize some corresponding ones for independent random variables and negatively associated random variables.

Published

2014-09-02

Issue

Section

Articles