WLLN for arrays of nonnegative random variables

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• 作者：Stefan Ankirchner^a ; ^{s.ankirchner@uni-jena.de} ; Thomas Kruse^b ; ^{thomas.kruse@uni-due.de} ; Mikhail Urusov^b ; ^{mikhail.urusov@uni-due.de}
• 关键词：Array of random variables ; Domination condition ; Negative association ; Negative quadrant dependence ; Weak law of large numbers
• 刊名：Statistics & Probability Letters
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：122
• 期：Complete
• 页码：73-78
• 全文大小：424 K
• 卷排序：122

文摘

We provide a weak law of large numbers for arrays of nonnegative and pairwise negatively associated (in each row) random variables under a rather weak domination condition.