Computational testing algorithmic procedure of assessment for lifetime performance index of Pareto products under progressive type I interval censoring
學年 105
學期 2
出版（發表）日期 2017-06-01
作品名稱 Computational testing algorithmic procedure of assessment for lifetime performance index of Pareto products under progressive type I interval censoring
作品名稱（其他語言）
著者 Shu-Fei Wu; Jin-Yang Lu
單位
出版者
著錄名稱、卷期、頁數 Computational Statistics 32(2), p.647–666
摘要 Process capability indices had been widely used to evaluate the process performance to the continuous improvement of quality and productivity. When the lifetime of products possesses a one-parameter Pareto distribution, 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 in the condition of known 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;Pareto distribution;Maximum likelihood estimator;Process capability indices
語言 en
ISSN 1613-9658
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/987654321/116856 )

SDGS 優質教育,產業創新與基礎設施