教師資料查詢 | 類別: 期刊論文 | 教師: 蔡宗儒TZONG-RU TSAI (瀏覽個人網頁)

標題:Predicting Type II Censored Data from 2^k Factorial Designs for the Weibull Distribution
學年98
學期1
出版(發表)日期2009/12/01
作品名稱Predicting Type II Censored Data from 2^k Factorial Designs for the Weibull Distribution
作品名稱(其他語言)
著者Tsai, Tzong-Ru; Lin, Feng-Tse; Chiang, Jyun-You
單位淡江大學統計學系
出版者Kumamoto: I C I C International
著錄名稱、卷期、頁數International Journal of Innovative Computing, Information and Control 5(12)pt.A, pp.4415-4429
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.
關鍵字Type II censored data; Maximum likelihood predictor; Modified maximum likelihood predictor; Robust 2k factorial design; Weibull distribution
語言英文
ISSN1349-4198
期刊性質國外
收錄於SCI
產學合作
通訊作者
審稿制度
國別日本
公開徵稿
出版型式紙本
相關連結
SDGs
  • 優質教育,產業創新與基礎設施
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