...
首页> 外文期刊>Communications in Statistics >Objective Bayesian Analysis for Linear Degradation Models
【24h】

Objective Bayesian Analysis for Linear Degradation Models

机译:线性降解模型的客观贝叶斯分析

获取原文
获取原文并翻译 | 示例

摘要

We propose an objective Bayesian approach to analyze degradation models. For the linear degradation models, two reference priors are derived, and based on this we show the posterior distributions are proper. Since the lifetime of the product is of interest in practice, a transformation is introduced to obtain the reference priors of the medium lifetime. In the posterior analysis, we explore two sampling procedures: Monte Carlo (MC) procedure and Monte Carlo Markov Chain (MCMC) procedure. A real data from Takeda and Suzuki (1983) is analyzed, and we find the results obtained by both procedures are close to the given literature.
机译:我们提出了一种客观的贝叶斯方法来分析退化模型。对于线性劣化模型,推导出两种参考前沿,并基于这,我们显示后部分布是合适的。由于产品的寿命在实践中感兴趣,因此引入了转化以获得中等寿命的参考前沿。在后续分析中,我们探索了两种采样程序:蒙特卡罗(MC)程序和蒙特卡罗马尔可夫链(MCMC)程序。分析了来自Takeda和Suzuki(1983)的真实数据,我们发现两种程序获得的结果接近给定的文献。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号