Complete Convergence Theorems for Extended Negatively Dependent Random Variables

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• 作者：Tien-Chung Hu (1)
  Kuo-Lung Wang (1)
  Andrew Rosalsky (2)
  
  1. Department of Mathematics ; Tsing Hua University ; Hsinchu ; Taiwan ; 30013 ; Republic of China
  2. Department of Statistics ; University of Florida ; Gainesville ; Florida ; 32611 ; USA
  
• 关键词：Complete convergence ; Extended negatively dependent random variables ; Array of random variables ; Stochastic domination ; Weighted sums. ; 60F15.
• 刊名：Sankhya A
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：77
• 期：1
• 页码：1-29
• 全文大小：433 KB
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• 刊物类别：Mathematics and Statistics
• 刊物主题：Statistics
  Statistical Theory and Methods
  Statistics Computing and Software
  Statistics
  
• 出版者：Springer India
• ISSN：0976-8378

文摘

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.