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    題名: 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
    關鍵詞: Maximum likelihood estimation;monte carlo simulation;optimal criteria;variable neighborhood search algorithm
    日期: 2022-11-11
    上傳時間: 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
    顯示於類別:[數學學系暨研究所] 期刊論文

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