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ON THE COMPLETE CONVERGENCE FOR WEIGHTED SUMS OF NEGATIVELY SUPERADDITIVE DEPENDENT RANDOM VARIABLES

  • SEO, HYE-YOUNG (School of Big Data &Financiall Statistics, and Institute of Basic Natural Science, Wonkwang University) ;
  • SHII, DA-LI (Graduate School, Wonkwang University) ;
  • BAEK, JONG-IL (School of Big Data &Financiall Statistics, and Institute of Basic Natural Science, Wonkwang University)
  • Received : 2019.01.03
  • Accepted : 2019.03.21
  • Published : 2019.05.30

Abstract

We are presented of several basic properties for negatively superadditive dependent(NSD) random variables. By using this concept we are obtained complete convergence for maximum partial sums of rowwise NSD random variables. These results obtained in this paper generalize a corresponding ones for independent random variables and negatively associated random variables.

Keywords

Acknowledgement

Supported by : Wonkwang University

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