Star-shaped order for distributions characterized by several parameters and some applications

IF 0.7 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL Probability in the Engineering and Informational Sciences Pub Date : 2021-09-28 DOI:10.1017/S0269964821000449
Idir Arab, M. Hadjikyriakou, P. E. Oliveira, Beatriz Santos
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引用次数: 0

Abstract

Abstract The star-shaped ordering between probability distributions is a common way to express aging properties. A well-known criterion was proposed by Saunders and Moran [(1978). On the quantiles of the gamma and F distributions. Journal of Applied Probability 15(2): 426–432], to order families of distributions depending on one real parameter. However, the lifetime of complex systems usually depends on several parameters, especially when considering heterogeneous components. We extend the Saunders and Moran criterion characterizing the star-shaped order when the multidimensional parameter moves along a given direction. A few applications to the lifetime of complex models, namely parallel and series models assuming different individual components behavior, are discussed.
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若干参数特征分布的星形序及其一些应用
概率分布之间的星形排序是表示老化特性的常用方法。Saunders和Moran[(1978)]提出了一个著名的标准。和F分布的分位数。应用概率学报,15(2):426-432]。然而,复杂系统的寿命通常取决于几个参数,特别是在考虑异构组件时。我们扩展了描述多维参数沿给定方向运动时星形序的Saunders和Moran准则。讨论了复杂模型寿命的几个应用,即假设不同的单个组件行为的并联和串联模型。
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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
45
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.
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