Stochastic comparisons of lifetimes of fail-safe systems with dependent and heterogeneous components under random shocks

IF 1.2 4区 数学 Q2 STATISTICS & PROBABILITY Statistics Pub Date : 2023-04-21 DOI:10.1080/02331888.2023.2203926
Biplab Hawlader, Pradip Kundu, Amarjit Kundu
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引用次数: 0

Abstract

A fail-safe system is a -out-of-n system whose lifetime is represented by the second-order statistic. This work studies stochastic comparisons of lifetimes of fail-safe systems with dependent and heterogeneous components, where the components are subjected to random shocks instantaneously. The results are derived for a general semiparametric family of distributions of the component lifetimes. We derive sufficient conditions for the comparison results under the usual stochastic order, and we provide counterexamples to show that under those conditions, similar comparisons cannot be made under the hazard rate order.
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随机冲击下具有依赖和异质组件的故障安全系统寿命的随机比较
故障安全系统是一个n外系统,其生命周期由二阶统计量表示。这项工作研究了具有依赖和异质组件的故障安全系统寿命的随机比较,其中组件瞬间遭受随机冲击。得到了部件寿命的一般半参数分布族的结果。我们推导了在通常随机阶下比较结果的充分条件,并给出了反例,证明在这些条件下,在风险率阶下不能进行类似的比较。
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来源期刊
Statistics
Statistics 数学-统计学与概率论
CiteScore
1.00
自引率
0.00%
发文量
59
审稿时长
12 months
期刊介绍: Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate. Statistics does not publish papers which represent mere application of existing procedures to case studies, and papers are required to contain methodological or theoretical innovation. Topics of interest include, for example, nonparametric statistics, time series, analysis of topological or functional data. Furthermore the journal also welcomes submissions in the field of theoretical econometrics and its links to mathematical statistics.
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