E-Bayesian statistical analysis for constant-stress accelerated life testing under the exponential distribution

摘要：

The problem of constant-stress accelerated life testing data analysis under the exponential distribution is discussed. At the constant-stress accelerated life testing conditions, E-Bayesian parameter estimation for constant-stress accelerated life testing under the exponential distribution is given by considering the prior distributions of the hyperparameters and using Gibbs sampling method. Finally, simulation example is given, the results show that the Gibbs sampling method is simple and the convergence is better. E-Bayesian parameter estimation is more effective than the maximum likelihood estimation.

关键词： constant-stress life testing exponential distribution E-Bayesian estimation Gibbs sampling

作者: Shu Zhao Guoliang Cai

作者单位: Faculty of Science,Jiangsu University,Zhenjiang 212013,Jiangsu,China

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 260-265

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）