Predicting Type II Censored Data from 2^k Factorial Designs for the Weibull Distribution

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 987654321/69231

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題名:	Predicting Type II Censored Data from 2^k Factorial Designs for the Weibull Distribution
作者:	Tsai, Tzong-Ru;Lin, Feng-Tse;Chiang, Jyun-You
貢獻者:	淡江大學統計學系
關鍵詞:	Type II censored data;Maximum likelihood predictor;Modified maximum likelihood predictor;Robust 2k factorial design;Weibull distribution
日期:	2009-12
上傳時間:	2011-10-23 16:40:44 (UTC+8)
出版者:	Kumamoto: I C I C International
摘要:	Experimenters often employ censoring schemes in life tests to shorten the test time or to reduce the test cost. However, censoring restricts the ability to observe failure times exactly. If the lifetime distribution is not normal, incomplete information contained in censored data often causes diﬃculties with employing the experimental design methods to conduct statistical inferences in engineering applications. The paper develops three new modiﬁed maximum likelihood predictors (MMLPs) to predict type II censored data for the Weibull distribution. Once the censored data are predicted, the predicted information can be merged with uncensored data as a pseudo-complete data set. The robust 2^k factorial design method [13] can be employed to identify the signiﬁcant factors from the experiment for the pseudo-complete data set. A Monte Carlo simulation study is conducted to evaluate the performance of the proposed method, and an example regarding engineering is presented for illustration.
關聯:	International Journal of Innovative Computing, Information and Control 5(12)pt.A, pp.4415-4429
顯示於類別:	[統計學系暨研究所] 期刊論文

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