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文章基本信息

  • 标题:Complete Convergence Theorems for Extended Negatively Dependent Random Variables
  • 作者:Tien-Chung Hu ; Kuo-Lung Wang ; Andrew Rosalsky
  • 期刊名称:Sankhya. Series A, mathematical statistics and probability
  • 印刷版ISSN:0976-836X
  • 电子版ISSN:0976-8378
  • 出版年度:2015
  • 卷号:77
  • 期号:1
  • 页码:1-29
  • DOI:10.1007/s13171-014-0058-z
  • 语种:English
  • 出版社:Indian Statistical Institute
  • 摘要:Complete convergence theorems are obtained for an array of rowwise extended negatively dependent random variables. Special cases of the main results are presented as corollaries. Illustrative examples are also presented.
  • 关键词:Complete convergence ; Extended negatively dependent random variables ; Array of random variables ; Stochastic domination ; Weighted sums.
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