Chinese Quarterly Journal of Mathematics ›› 2014, Vol. 29 ›› Issue (2): 265-273.doi: 10.13371/j.cnki.chin.q.j.m.2014.02.017

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On the Strong Laws for Weighted Sums of m-negatively Associated Random Variables

  

  1. Department of Mathematics and Computer Science, Tongling University; Center for Financial Engineering and School of Mathematical Sciences, Soochow University

  • Received:2012-11-26 Online:2014-06-30 Published:2023-04-10
  • About author:WU Yong-feng(1977-), male, native of Zhongyang, Anhui, an associate professor of Tongling University, M.S.D., engages in probability limit theory
  • Supported by:
    Supported by the Humanities and Social Sciences Foundation for the Youth Scholars of Ministry of Education of China(12YJCZH217); Supported by the Natural Science Foundation of Anhui Province(1308085MA03); Supported by the Key Natural Science Foundation of Educational Committe of Anhui Province(KJ2014A255)

Abstract: In this article, the author establishes the strong laws for linear statistics that are weighted sums of a m-negatively associated(m-NA) random sample. The obtained results extend and improve the result of Qiu and Yang in [1] to m-NA random variables.

Key words: Marcinkiewicz-Zygmund strong law, complete convergence, weighted sums; m-negatively associated random variable

CLC Number: