数学季刊 ›› 2011, Vol. 26 ›› Issue (4): 499-504.

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关于ρ--混合随机变量序列部分最大和范数的矩条件

  

  1. 1. Management Committee Office, Zhaoqing High-Tech Zone2. School of Sciences, Guilin University of Technology3. Dawang Middle School, Zhaoqing High-Tech Zone

  • 收稿日期:2008-03-21 出版日期:2011-12-30 发布日期:2023-04-13
  • 作者简介:TAN Cheng-liang(1982-), male, native of Zhuzhou, Hunan, M.S.D., engages in probability limit theory and numerical calculation.
  • 基金资助:
    Supported by the National Science Foundation of China(10661006); Supported by Innovation Project of Guangxi Graduate Education(2007105960812M18);

On Moments of the Maximum of Normed Partial Sums of ρ-mixing Random Variables

  1. 1. Management Committee Office, Zhaoqing High-Tech Zone2. School of Sciences, Guilin University of Technology3. Dawang Middle School, Zhaoqing High-Tech Zone

  • Received:2008-03-21 Online:2011-12-30 Published:2023-04-13
  • About author:TAN Cheng-liang(1982-), male, native of Zhuzhou, Hunan, M.S.D., engages in probability limit theory and numerical calculation.
  • Supported by:
    Supported by the National Science Foundation of China(10661006); Supported by Innovation Project of Guangxi Graduate Education(2007105960812M18);

摘要: In this paper, we obtain the moment conditions for the supermun of normed sums of ρ--mixing random variables by using the Rosenthal-type inequality for Maximum partial sums of ρ--mixing random variables. The result obtained generalize the results of Chen(2008) and extend those to negatively associated sequences and ρ--mixing random variables.

关键词:  moments of supermun of normed partial sums, ρ?-mixing random variables; ρ?-mixing random variables, negatively associated random variables

Abstract: In this paper, we obtain the moment conditions for the supermun of normed sums of ρ--mixing random variables by using the Rosenthal-type inequality for Maximum partial sums of ρ--mixing random variables. The result obtained generalize the results of Chen(2008) and extend those to negatively associated sequences and ρ--mixing random variables.

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