吉林大学学报(理学版)

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END随机序列的完全收敛性与强收敛性

胡学平, 王翠云   

  1. 安庆师范学院 数学与计算科学学院, 安徽 安庆 246133
  • 收稿日期:2015-03-17 出版日期:2015-11-26 发布日期:2015-11-23
  • 通讯作者: 胡学平 E-mail:hxprob@163.com

Complete Convergence and Strong Convergence Propertiesfor END Random Sequences

HU Xueping, WANG Cuiyun   

  1. School of Mathematics and Computation Science, Anqing Normal University, Anqing 246113, Anhui Province, China
  • Received:2015-03-17 Online:2015-11-26 Published:2015-11-23
  • Contact: HU Xueping E-mail:hxprob@163.com

摘要:

利用END随机序列矩不等式和截尾法, 探讨END随机序列的完全收敛性和强收敛性. 给出了其相应的三级数定理, 并利用所得结论获得了其完全收敛性与强收敛性的一些充分条件.

关键词: END随机序列, 矩不等式, 完全收敛性, 强收敛性

Abstract:

Complete convergence and strong convergence properties for extended negatively dependent (END) random sequences were investigated by means of the moment inequality for END random sequence and with the help of truncated method. We obtained three series theorem and some sufficient condition about complete convergence and strong complete convergence for END random sequences.

Key words: extended negatively dependent (END) random sequences, moment inequality, complete convergence, strong convergence

中图分类号: 

  • O211.4