Statistical Inference and Optimum Life-Testing Plans with Joint Progressively Type-II Censoring Scheme

淡江大學機構典藏 > 理學院 > 應用數學與數據科學學系 > 期刊論文 > Item 987654321/122884

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/122884

题名:	Statistical Inference and Optimum Life-Testing Plans with Joint Progressively Type-II Censoring Scheme
作者:	Lin, Chien-Tai;Chen, Yen-Chou;Yeh, Tzu-Chi;Ng, Hon Keung Tony
关键词:	Maximum likelihood estimation;monte carlo simulation;optimal criteria;variable neighborhood search algorithm
日期:	2022-11-11
上传时间:	2023-04-28 16:22:58 (UTC+8)
出版者:	Taylor & Francis
摘要:	This article discusses the estimation of model parameters and the determination of optimal life-testing plans for Weibull-distributed lifetimes under a joint progressive Type-II censoring scheme. We obtain the maximum likelihood estimates numerically and propose a modified variable-neighborhood-search-based approach for determining the optimum joint progressive Type-II censoring scheme. Different optimal criteria, including a cost minimization criterion, the A-optimality criterion, and the D-optimality criterion, are considered. A sensitivity analysis is used to study the effect of misspecification of parameter values on the optimal schemes.
關聯:	Quality Technology & Quantitative Management
DOI:	10.1080/16843703.2022.2071535
显示于类别:	[應用數學與數據科學學系] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	99	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章