Computational testing algorithmic procedure of assessment for lifetime performance index of products with weibull distribution under progressive type I interval censoring
學年 105
學期 2
出版（發表）日期 2017-02-01
作品名稱 Computational testing algorithmic procedure of assessment for lifetime performance index of products with weibull distribution under progressive type I interval censoring
作品名稱（其他語言）
著者 Shu-Fei Wu; Meng-Ju Lin
單位
出版者
著錄名稱、卷期、頁數 Journal of Computational and Applied Mathematics 311, p.364-374
摘要 The assessing of the lifetime performance is a very important topic in manufacturing or service industries. Process capability indices had been widely used to evaluate the process performance to the continuous improvement of quality and productivity. The lifetimes of products are assumed to have Weibull distribution with a known shape parameter and the larger-the-better lifetime performance index is considered. The maximum likelihood estimator is used to estimate the lifetime performance index based on the progressive type I interval censored sample. The asymptotic distribution of this estimator is also investigated. We use this estimator to develop the new hypothesis testing algorithmic procedure with respect to a lower specification limit. Finally, two practical examples are given to illustrate the use of this testing algorithmic procedure to determine whether the process is capable.
關鍵字 Progressive type I interval censored sample;Weibull distribution;Maximum likelihood estimator;Process capability indices;Testing algorithmic procedure
語言 en
ISSN
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 否
國別 USA
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/116853 )

SDGS 優質教育,產業創新與基礎設施