在渐进式首次失效普查样本下，利用幂林德利分布对多成分应力强度可靠性进行经典和贝叶斯估计

IF 1.1 4区数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Computation and Simulation Pub Date : 2024-07-30 DOI:10.1080/00949655.2024.2383989

Shubham Saini, Renu Garg, Neeraj Tiwari, Chatany Swaroop

引用次数: 0

摘要

本文介绍了一种基于渐进式首次失效删失样本的多组件可靠性估算方法，在这种方法中，应力和应变的基本分布...

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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Classical and Bayesian estimation of multicomponent stress–strength reliability with power Lindley distribution under progressive first-failure censored samples

This research article presents a methodology for estimating the multicomponent reliability based on progressively first-failure censored samples, where the underlying distribution of stress and str...

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来源期刊

Journal of Statistical Computation and Simulation 数学-计算机：跨学科应用

CiteScore

2.30

自引率

8.30%

发文量

156

审稿时长

4-8 weeks

期刊介绍： Journal of Statistical Computation and Simulation ( JSCS ) publishes significant and original work in areas of statistics which are related to or dependent upon the computer. Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems. JSCS does not consider applications of statistics to other fields, except as illustrations of the use of the original statistics presented. Accepted papers should ideally appeal to a wide audience of statisticians and provoke real applications of theoretical constructions.