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Precise Large Deviations for Sums of Independent Random Variables with Consistently Varying Tails

机译:尾部一致而变化的独立随机变量之和的精确大偏差

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摘要

In this article, we investigate the precise large deviations for a sum of independent but not identical distributed random variables. {X_n, n ≥ 1} are independent non-negative random variables with distribution functions [F_n, n≥ 1}. We assume that the average of right tails of distribution functions F_n is equivalent to some distribution function F with consistently varying tails. In applications, we apply our main results to a realistic example (Pareto-type distribution) and obtain a specific result.
机译:在本文中,我们研究了独立但不相同的分布随机变量之和的精确大偏差。 {X_n,n≥1}是具有分布函数[F_n,n≥1}的独立非负随机变量。我们假设分布函数F_n的右尾部平均值等于具有连续变化的尾部的某些分布函数F。在应用程序中,我们将主要结果应用于实际示例(帕累托型分布)并获得特定结果。

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