Mean residual life order among largest order statistics arising from resilience-scale models with reduced scale parameters

IF 0.7 3区工程技术 Q4 ENGINEERING, INDUSTRIAL

Probability in the Engineering and Informational Sciences Pub Date : 2022-11-22 DOI:10.1017/S0269964821000486

Abedin Haidari, M. Sattari, G. Barmalzan

引用次数: 1

Abstract

In this paper, we identify some conditions to compare the largest order statistics from resilience-scale models with reduced scale parameters in the sense of mean residual life order. As an example of the established result, the exponentiated generalized gamma distribution is examined. Also, for the special case of the scale model, power-generalized Weibull and half-normal distributions are investigated.

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基于降尺度参数的弹性尺度模型中最大阶统计量的平均剩余寿命序

在平均剩余寿命阶的意义上，我们确定了一些条件来比较具有缩减尺度参数的弹性尺度模型的最大阶统计量。作为已建立结果的一个例子，对指数广义伽玛分布进行了检验。对于比例模型的特殊情况，研究了幂广义威布尔分布和半正态分布。

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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来源期刊

Probability in the Engineering and Informational Sciences 数学-工程：工业

CiteScore

2.20

自引率

18.20%

发文量

审稿时长

>12 weeks

期刊介绍： The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.