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B值m相依随机元列移动平均过程的随机指标中心极限定理

谭希丽1,2, 杨晓云1   

  1. 1. 吉林大学 数学研究所, 长春 130012; 2. 北华大学 理学院数学系, 吉林省 吉林 132013
  • 收稿日期:2006-05-10 修回日期:1900-01-01 出版日期:2007-03-26 发布日期:2007-03-26
  • 通讯作者: 杨晓云

The Central Limit Theorem for the Sum of Random Number ofMoving Average Processes ofm DependentBValued Elements

TAN Xili1,2, YANG Xiaoyun1   

  1. 1. Institute of Mathematics, Jilin University, Changchun 130012, China;2. Department of Mathematics, Science College, Beihua University, Jilin 132013, Jilin Province, China
  • Received:2006-05-10 Revised:1900-01-01 Online:2007-03-26 Published:2007-03-26
  • Contact: YANG Xiaoyun

摘要: {εt;t∈Z}是均值为零、 二阶矩有限的B值m相依随机元列, {aj; j∈Z}是一实数序列, 定义移动平均过程Xt利用BeveridgeNelson分解及{εt;t≥ 1}的弱收敛定理, 给出{Xt;t≥1} 满足随机指标中心极限定理的充分条件.

关键词: m相依随机元, 移动平均过程, 随机指标中心极限定理

Abstract: Let {εt;t∈Z} be a sequence of mdependent Bvalued random elements with mean zeros and finite second moment. {aj; j∈Z} is a sequence of real numbers . Define moving average process Xt. Using BeveridgeNelson decomposition and the weak convergence theorem of the sum of {εt;t≥ 1}, we studied limit theorem of the sum of {Xt;t≥1} and gave a sufficient condition of the central limit theorem for the sum of random number of {Xt;t≥1}.

Key words: mdependent random element, moving average process, the central limit theorem for the sum of random numbe

中图分类号: 

  • O211.4