这份报纸建议一个客观贝叶斯的方法关于一个维纳过程学习降级模型。优先的 Jeffreys 和为参数优先的参考被导出,并且在这些 priors 下面的 posteriors 的适当被验证。二个采样算法被介绍计算 posteriors。模拟研究被进行调查客观贝叶斯的过程的表演。最后,作者把途径用于一个降级数据。
This paper proposes an objective Bayesian method to study the degradation model with respect to a Wiener process. The Jeffreys prior and reference prior for the parameters are derived, and the propriety of the posteriors under these priors is validated. Two sampling algorithms are introduced to compute the posteriors. A simulation study is conducted to investigate the performance of the objective Bayesian procedure. Finally, the authors apply the approach to a degradation data.