Ordering Properties of the Smallest and Largest Order Statistics from Exponentiated Location-Scale Models Under Random Shocks

被引:0
|
作者
Abdolahi, Molod [1 ]
Parham, Gholamali [1 ]
Chinipardaz, Rahim [1 ]
机构
[1] Shahid Chamran Univ Ahvaz, Fac Math Sci & Comp, Dept Stat, Ahvaz, Iran
关键词
exponentiated location-scale family; matrix majorization; random shock; usual stochastic order; vector majorization; STOCHASTIC COMPARISONS; PARALLEL SYSTEMS; SAMPLE MINIMUM; FAMILY; SERIES;
D O I
10.57805/revstat.v21i1.408
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, we discuss stochastic comparisons of lifetimes of series and parallel systems when the components are exponentiated location-scale models under random shocks. The results established here are developed in two directions. First, the comparisons are carried out with respect to usual stochastic ordering by using the concept of vector majorization for series and parallel systems. Next, when the matrix of parameters changes to another matrix of parameters in the sense of multivariate chain majorization, we study the usual stochastic order of the smallest order statistics when each component receives a random shock.
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页码:115 / 141
页数:27
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