A dynamic Bayesian approach to inference from accelerated life tests

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题名:	A dynamic Bayesian approach to inference from accelerated life tests
作者:	Leu,LY;Wu,JC
贡献者:	統計研究所
关键词:	NONPARAMETRIC APPROACH;DISTRIBUTIONS;WEIBULL
日期:	1999
上传时间:	2010-06-29 19:33:33 (UTC+8)
出版者:	中央大學
摘要:	Accelerated life testings(ALT) are usually conducted at higher than normal stress levels, in order to induce failures. And it is often assumed that there is a close relation between certain paramaters of the life distribution and the stress level at which the experiment is conducted. However, because of the different effects on the failure mechanisms, this assumption is unreasonable in many practical situations. In this article, we relax this assumption to fit the data arising from an ALT, and we apply the Dynamic Bayesian method to inference from ALT, and then modify the method, which is proposed by Proschan and Singpurwalla(1980), of extrapolating the failure rate under the normal stress to the proportional hazards model. According to the results of simulation study and analysis of real data, the estimated failure rate, by our method, under the normal stress is more reasonable.
關聯:	COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
显示于类别:	[統計研究所] 期刊論文

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