首页> 外文期刊>Bulletin of the Institute of Mathematics, Academia Sinica >The distribution of the product XY of random variables X and Y is of interest in many applied problems. The existing literature deals with cases when X and Y arise from the same family of distributions. In this paper, we study the distribution of XY
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The distribution of the product XY of random variables X and Y is of interest in many applied problems. The existing literature deals with cases when X and Y arise from the same family of distributions. In this paper, we study the distribution of XY

机译:随机变量X和Y的乘积XY的分布在许多应用问题中都很有趣。现有文献涉及X和Y来自同一分布族的情况。在本文中,我们研究了XY的分布

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摘要

In this paper, we introduce the notions of pair-wise m-dependence and blockwise and pairwise m-dependence of random variables {Xn,n > 1}. For a sequence of blockwise and pairwise m-dependent random variables {Xn,n > 1}, we provide conditions for (∑from j=1 to n of (x_j - Ex_j))/(n~(1/r)) → 0 a.s. as n →  ∞(1 ≤ r < 2). We also establish the strong law of large numbers for sequences of pairwise m-dependent random variables.
机译:在本文中,我们介绍了随机变量{Xn,n> 1}的成对m相关性以及块对和成对m相关性的概念。对于序列的成对和成对的m相关随机变量{Xn,n> 1},我们提供了(∑从(x_j-Ex_j)的j = 1到n的条件)/(n〜(1 / r))→ 0为为n→∞(1≤r <2)。我们还建立了成对的m对随机变量序列的强数定律。

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