条件剩余寿命的随机比较及其应用

IF 2.3 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Quality Technology and Quantitative Management Pub Date : 2022-10-24 DOI:10.1080/16843703.2022.2136281
Yiying Zhang
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引用次数: 0

摘要

摘要一个单元(例如可靠性系统中的一个组件)的生存状况在影响另一个单元甚至整个系统的性能方面发挥着关键作用,这并不罕见。对条件剩余寿命的随机行为的研究对于分析感兴趣的单元的性能似乎特别重要。本文研究了当另一个单元存活到给定时间时,在依赖信息下单元的条件剩余寿命的随机比较。根据一些传统的随机序,建立了比较不同单元在不同依赖结构和不同事件下的条件剩余寿命的充分(必要)条件。我们提供了基于众所周知的FGM copula和阿基米德copula的数值例子来验证条件。还考虑了可靠性理论和风险理论中的三个真实场景,以表明我们的结果的适用性。
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Stochastic comparisons of conditional residual lifetimes with applications
ABSTRACT It is not uncommon that the living situation of a unit (e.g. a component in a reliability system) plays a critical role in affecting the performance of another unit or even the whole system. The study on stochastic behaviors of conditional residual lifetimes appears to be particularly important for analyzing the performances of interested units. This paper studies stochastic comparisons on the conditional residual lifetimes of units under the dependent information when another unit has survived up to a given time. Sufficient (and necessary) conditions are established for comparing conditional residual lifetimes of different units under various dependence structures as well as different events according to some traditional stochastic orders. We provide numerical examples based on the well-known FGM copula and Archimedean copulas to verify the conditions. Three real scenarios in reliability theory and risk theory are also considered to show the applicability of our results.
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来源期刊
Quality Technology and Quantitative Management
Quality Technology and Quantitative Management ENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
5.10
自引率
21.40%
发文量
47
审稿时长
>12 weeks
期刊介绍: Quality Technology and Quantitative Management is an international refereed journal publishing original work in quality, reliability, queuing service systems, applied statistics (including methodology, data analysis, simulation), and their applications in business and industrial management. The journal publishes both theoretical and applied research articles using statistical methods or presenting new results, which solve or have the potential to solve real-world management problems.
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