Complete Convergence for Weighted Sums of Negatively Superadditive Dependent Random Variables

Complete Convergence for Weighted Sums of Negatively Superadditive Dependent Random Variables

Year:    2014

Author:    Yu Zhou, Fengxi Xia, Yan Chen, Xuejun Wang

Journal of Mathematical Study, Vol. 47 (2014), Iss. 3 : pp. 287–294

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.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

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

Journal of Mathematical Study, Vol. 47 (2014), Iss. 3 : pp. 287–294

Published online:    2014-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    8

Keywords:    Negatively superadditive dependent random variables Rosenthal type inequality complete convergence.

Author Details

Yu Zhou

Fengxi Xia

Yan Chen

Xuejun Wang