教師資料查詢 | 類別: 期刊論文 | 教師: 吳碩傑 Shuo-Jye Wu (瀏覽個人網頁)

標題:Optimal step-stress test under type I progressive group-censoring with random removals
學年96
學期2
出版(發表)日期2008/04/01
作品名稱Optimal step-stress test under type I progressive group-censoring with random removals
作品名稱(其他語言)
著者Wu, Shuo-jye; Lin, Ying-po; Chen, Shyi-tien
單位淡江大學統計學系
出版者Elsevier
著錄名稱、卷期、頁數Journal of Statistical Planning and Inference 138(4), pp.817-826
摘要Some traditional life tests result in no or very few failures by the end of test. In such cases, one approach is to do life testing at higher-than-usual stress conditions in order to obtain failures quickly. This paper discusses a k-level step-stress accelerated life test under type I progressive group-censoring with random removals. An exponential failure time distribution with mean life that is a log-linear function of stress and a cumulative exposure model are considered. We derive the maximum likelihood estimators of the model parameters and establish the asymptotic properties of the estimators. We investigate four selection criteria which enable us to obtain the optimum test plans. One is to minimize the asymptotic variance of the maximum likelihood estimator of the logarithm of the mean lifetime at use-condition, and the other three criteria are to maximize the determinant, trace and the smallest eigenvalue of Fisher's information matrix. Some numerical studies are discussed to illustrate the proposed criteria.
關鍵字A-optimality; D-optimality; E-optimality; Grouped data; Maximum likelihood method; Progressive type I censoring; Variance-optimality
語言英文
ISSN0378-3758
期刊性質國外
收錄於SCI
產學合作
通訊作者Wu, Shuo-jye
審稿制度
國別荷蘭
公開徵稿
出版型式紙本;電子版
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