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A Generalization of the Mejzler--de Haan Theorem

机译:Mejzler-de Haan定理的推广

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摘要

Let (k_n) be a sequence of positive integers such that k_no infty as noinfty. Let X^st_{n1}, ldots,X^st_{nk_n}, nin{f N}, be a double array of random variables such that for each n the random variables X^st_{n1},ldots, X^st_{nk_n} are independent with a common distribution function F_n, and let us denote M^st_n=max{X^st_{n1},dots,X^st_{nk_n}}. We consider an example of double array random variables connected with a certain combinatorial waiting time problem (including both dependent and independent cases), where k_n=n for all n and the limiting distribution function for M^st_n is Lambda(x)=exp(-e^{-x}), although none of the distribution functions F_n belongs to the domain of attraction
机译:令(k_n)是一个正整数序列,使得k_n to infty为n to infty。令X ^ ast_ {n1}, ldots,X ^ ast_ {nk_n},n in { bf N}为随机变量的双精度数组,这样对于每n个随机变量X ^ ast_ {n1 }, ldots,X ^ ast_ {nk_n}是独立的,并且具有共同的分布函数F_n,并且让我们表示M ^ ast_n = max {X ^ ast_ {n1}, dots,X ^ ast_ { nk_n} }。我们考虑一个与特定组合等待时间问题(包括相关和独立情况)相关的双数组随机变量的示例,其中所有n的k_n = n,而M ^ ast_n的极限分布函数为 Lambda(x)= exp(-e ^ {-x}),尽管分布函数F_n都不属于吸引域

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