上海第二工业大学学报2024,Vol.41Issue(4) :424-429.DOI:10.19570/j.cnki.jsspu.2024.04.010

二维指数分布场合相依部件系统的贝叶斯分析

Bayesian Analysis of the Dependent Component System Based on Bivariate Exponential Distribution

武东 李琼
上海第二工业大学学报2024,Vol.41Issue(4) :424-429.DOI:10.19570/j.cnki.jsspu.2024.04.010

二维指数分布场合相依部件系统的贝叶斯分析

Bayesian Analysis of the Dependent Component System Based on Bivariate Exponential Distribution

武东 1李琼2
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作者信息

  • 1. 安徽农业大学 信息与人工智能学院,安徽合肥 230036
  • 2. 徽商职业学院 电子信息系,安徽合肥 231201
  • 折叠

摘要

对两部件寿命服从Marshall-Olkin指数分布的串联系统和并联系统的可靠度进行了贝叶斯(Bayesian,Bayes)统计分析.在平方误差损失下,利用混合Metropolis-吉布斯抽样法给出了系统可靠度的Bayes估计.最后,通过模拟研究表明在串联系统和并联系统的可靠度估计中,Bayes估计要优于极大似然估计.

Abstract

A Bayesian(Bayes)procedure is presented for estimating the reliability of series system and parallel systems with two component lifetimes under Marshall-Olkin Exponential distribution.Under square error loss,Bayes estimation of the system reliability was proposed by mixed Metropolis-Gibbs sampling methods.Finally,through simulation studies,Bayes estimation for reliability of the series system and parallel systems is better than maximum likelihood estimation.

关键词

二维指数分布/串联系统/并联系统/贝叶斯估计

Key words

Bivariate Exponential distribution/series system/parallel system/Bayesian estimation

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出版年

2024
上海第二工业大学学报
上海第二工业大学

上海第二工业大学学报

影响因子:0.248
ISSN:1001-4543
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