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首页> 外文期刊>Journal of Applied Probability >POISSON AND COMPOUND POISSON APPROXIMATIONS FOR RANDOM SUMS OF RANDOM VARIABLES
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POISSON AND COMPOUND POISSON APPROXIMATIONS FOR RANDOM SUMS OF RANDOM VARIABLES

机译:随机变量的随机和的Poisson和复合Poisson逼近

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摘要

We derive upper bounds for the total variation distance, d, between the distributions of two random sums of non-negative integer-valued random variables. The main results are then applied to some important random sums, including cluster binomial and cluster multinomial distributions, to obtain bounds on approximating them to suitable Poisson or compound Poisson distributions. These bounds are generally better than the known results on Poisson and compound Poisson approximations. We also obtain a lower bound for d and illustrate it with an example. [References: 16]
机译:我们得出两个非负整数值随机变量的随机和分布之间的总变化距离d的上限。然后将主要结果应用于一些重要的随机和,包括聚类二项式分布和聚类多项式分布,以获得将它们近似为合适的Poisson或复合Poisson分布的范围。这些界限通常比Poisson和复合Poisson逼近的已知结果更好。我们还获得了d的下界,并举例说明。 [参考:16]

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