Stochastic comparison of parallel systems with heterogeneous dependent exponential components

Pub Date : 2024-08-10 DOI:10.1016/j.spl.2024.110242
Ebrahim Amini-Seresht , Baha-Eldin Khaledi , Salman Izadkhah
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引用次数: 0

Abstract

Let X=(X1,,Xn) and Y=(Y1,,Yn) be two random vectors with common Archimedean copula with generator function ϕ, where, for i=1,,n, Xi is an exponential random variable with hazard rate λi and Yi is an exponential random variable with hazard rate λ. In this paper we prove that under some sufficient conditions on the function ϕ, the largest order statistic corresponding to X is larger than that of Y according to the dispersive ordering and hazard rate ordering. The new results generalized the results in Dykstra et al. (1997) and Khaledi and Kochar (2000). We show that the new results can be applied to some well known Archimedean copulas.

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具有异质依赖指数成分的并行系统的随机比较
设 X=(X1,...,Xn)和 Y=(Y1,...,Yn)是两个具有共同阿基米德协方差的随机向量,其生成函数为 j,其中,对于 i=1,...,n,Xi 是危险率为 λi 的指数随机变量,Yi 是危险率为 λ 的指数随机变量。本文证明了在函数 j 的某些充分条件下,根据分散排序和危险率排序,X 对应的最大阶统计量大于 Y 对应的最大阶统计量。新结果概括了 Dykstra 等人(1997 年)以及 Khaledi 和 Kochar(2000 年)的结果。我们证明,新结果可以应用于一些众所周知的阿基米德协方差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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