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    題名: Planning step-stress life test with progressively type I group-censored exponential data
    作者: Wu, Shuo-jye;Lin, Ying-po;Chen, Yi-ju
    貢獻者: 淡江大學統計學系
    關鍵詞: accelerated life test;D-optimality;grouped data;maximum likelihood method;progressive censoring;variance-optimality
    日期: 2006-02-01
    上傳時間: 2009-11-30 12:53:19 (UTC+8)
    出版者: Wiley-Blackwell
    摘要: Accelerated life testing of products is used to get information quickly on their lifetime distributions. This paper discusses a k‐stage step‐stress accelerated life test under progressive type I censoring with grouped data. An exponential lifetime distribution with mean life that is a log‐linear function of stress is considered. A cumulative exposure model is also assumed. We use the maximum likelihood method to obtain the estimators of the model parameters. The methods for obtaining the optimum test plan are investigated using the variance‐optimality and D‐optimality criteria. Some numerical studies are discussed to illustrate the proposed criteria.
    關聯: Statistica Neerlandica 60(1), pp.46-56
    DOI: 10.1111/j.1467-9574.2006.00309.x
    顯示於類別:[統計學系暨研究所] 期刊論文

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