Optimal progressive interval censoring plan under accelerated life test with limited budget

淡江大學機構典藏 > 商管學院 > 統計學系暨研究所 > 期刊論文 > Item 987654321/117053

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題名:	Optimal progressive interval censoring plan under accelerated life test with limited budget
作者:	Wu Shuo-Jye;Huang Syuan-Rong
關鍵詞:	D-optimality;E-optimality;maximum likelihood method;multiple constant stress;T-optimality;Weibull distribution
日期:	2019-08-25
上傳時間:	2019-09-19 12:10:47 (UTC+8)
出版者:	Taylor & Francis
摘要:	In this paper, we investigate some inference and design problems related to multiple constant-stress accelerated life test with progressive type-I interval censoring. A Weibull lifetime distribution at each stress-level combination is considered. The scale parameter of Weibull distribution is assumed to be a log-linear function of stresses. We obtain the estimates of the unknown parameters through the method of maximum likelihood, and also derive the Fisher's information matrix. The optimal number of test units, number of inspections, and length of the inspection interval are determined under D-optimality, T-optimality, and E-optimality criteria with cost constraint. An algorithm based on nonlinear mixed-integer programming is proposed to the optimal solution. The sensitivity of the optimal solution to changes in the values of the different parameters is studied.
關聯:	Journal of Statistical Computation and Simulation 89(17), p.3241-3257
DOI:	10.1080/00949655.2019.1658762
顯示於類別:	[統計學系暨研究所] 期刊論文

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