数学季刊 ›› 2011, Vol. 26 ›› Issue (1): 114-119.

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ρ--混合序列部分和最大值的一些不等式和强大数律的收敛速度

  

  1. 1. Management Committee Offce, Zhaoqing High-Tech Zone2. Department of Maths and Physics, Guilin University of Technology3. Dawang Middle School, Zhaoqing High-Tech Zone

  • 收稿日期:2007-06-14 出版日期:2011-03-30 发布日期:2023-05-12
  • 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(10661006); Supported by Innovation Project of Guangxi Graduate Education(2007105960812M18);

Inequalities of Maximum of Partial Sums and Convergence Rates in the Strong Laws for ρ--mixing Random Variables 

  1. 1. Management Committee Offce, Zhaoqing High-Tech Zone2. Department of Maths and Physics, Guilin University of Technology3. Dawang Middle School, Zhaoqing High-Tech Zone
  • Received:2007-06-14 Online:2011-03-30 Published:2023-05-12
  • 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(10661006); Supported by Innovation Project of Guangxi Graduate Education(2007105960812M18);

摘要:  In this paper, we establish a Rosenthal-type inequality of partial sums for ρ--mixing random variables. As its applications, we get the complete convergence rates in the strong laws for ρ--mixing random variables. The result obtained extends the corresponding result.



关键词: convergence rates, rosenthal type inequality, ρ--mixing random variables, ρ-mixing random variables, negatively associated random variables

Abstract:  In this paper, we establish a Rosenthal-type inequality of partial sums for ρ--mixing random variables. As its applications, we get the complete convergence rates in the strong laws for ρ--mixing random variables. The result obtained extends the corresponding result.




Key words: convergence rates, rosenthal type inequality, ρ--mixing random variables, ρ-mixing random variables, negatively associated random variables

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