A strong law of large numbers for arrays of rowwise negatively dependent random variables
A strong law of large numbers for arrays of rowwise negatively dependent random variables
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DOI：
10.1081/sap-120004118
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发表时间：
2002-10
影响因子：
1.3
通讯作者：
R. L. Taylor;R. Patterson;A. Bozorgnia
中科院分区：
文献类型：
--
作者：
R. L. Taylor;R. Patterson;A. Bozorgnia
获得了行负相关随机变量数组的强大数定律，这放宽了行独立性的通常假设。主要结果的矩条件与之前的结果相似，随机有界条件也提供了通常分布假设的松弛。
A strong law of large numbers for arrays of rowwise negatively dependent random variables is obtained which relaxes the usual assumption of rowwise independence. The moment conditions of the main result are similar to previous results, and the stochastic bounded condition also provides a relaxation of the usual distributional assumptions.