巢湖学院学报 ›› 2019, Vol. 21 ›› Issue (3): 23-27.doi: 10.12152/j.issn.1672-2868.2019.03.004

• 数理科学 • 上一篇    下一篇

两部件冷备系统可靠度的Bayes估计

摘要:研究给出了两部件冷备系统可靠度的Bayes 估计,在此基础上针对超参数的先验分布分别讨论了Bayes假设和Jeffreys先验两种无信息先验的情形,进而给出相应的系统可靠度的多层Bayes 估计。通过数例分析对冷备系统可靠度的Bayes估计及两种超参数先验分布下的多层Bayes 估计的精度进行了比较,并且说明了多层Bayes 估计的合理性。
  

  1. 黄山学院  数学与统计学院,安徽  黄山  245041
  • 收稿日期:2019-01-21 出版日期:2019-05-25 发布日期:2019-05-25
  • 通讯作者: 作者简介:李玲(1980-),女,安徽庐江人,黄山学院数学与统计学院讲师,主要从事可靠性统计研究.
  • 作者简介:作者简介:李玲(1980-),女,安徽庐江人,黄山学院数学与统计学院讲师,主要从事可靠性统计研究.
  • 基金资助:
    基金项目:安徽省教育厅自然科学研究项目(项目编号:KJ2011Z364)

Bayes Estimation of Reliability of Two-Component Cold Standby System

Abstract: Bayes estimation of reliability of two-component cold standby system is given. On this basis, we discuss the Bayes hypothesis and Jeffreys priori for the non-informative priori distribution of hyper-parameters, then the multi-layer Bayes estimation of the system reliability is given. The accuracy of multi-layer Bayes estimation under the two kinds of hyper-parametric prior distributions is compared by the example. We also compare the accuracy of Bayes estimation and multi -layer Bayes estimation. Finally, the rationality of multi -layer Bayes estimation is explained.#br#   

  1. School of Mathematics and Statistics, Huangshan University, Huangshan Anhui 245041
  • Received:2019-01-21 Online:2019-05-25 Published:2019-05-25
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摘要: 摘要:研究给出了两部件冷备系统可靠度的Bayes 估计,在此基础上针对超参数的先验分布分别讨论了Bayes假设和Jeffreys先验两种无信息先验的情形,进而给出相应的系统可靠度的多层Bayes 估计。通过数例分析对冷备系统可靠度的Bayes估计及两种超参数先验分布下的多层Bayes 估计的精度进行了比较,并且说明了多层Bayes 估计的合理性。

关键词: 关键词:两部件, 冷备系统, Bayes 估计, 多层Bayes 估计, 无信息先验

Abstract: Abstract: Bayes estimation of reliability of two-component cold standby system is given. On this basis, we discuss the Bayes hypothesis and Jeffreys priori for the non-informative priori distribution of hyper-parameters, then the multi-layer Bayes estimation of the system reliability is given. The accuracy of multi-layer Bayes estimation under the two kinds of hyper-parametric prior distributions is compared by the example. We also compare the accuracy of Bayes estimation and multi -layer Bayes estimation. Finally, the rationality of multi -layer Bayes estimation is explained.

Key words: Key words: two-component, cold standby system, Bayes estimation, multi-layer Bayes estimation, Non-informative prior

中图分类号: 

  • O213.2