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A hypothesis testing procedure for the evaluation on the lifetime performance index of products with Burr XII distribution under progressive type I interval censoring

類別:期刊論文

學年 / 學期:106-2

出版日期:2018-05-05 00:00:00

著者:Shu-Fei Wu; Tzu-Chin Chen; Wen-Jui Chang; Chia-Wei Chang; Chen Lin

著錄名稱、卷期、頁數:Communications in Statistics: Simulation and Computation 47(9), p.2670-2683

摘要:It is a very important topic these days to assessing the lifetime performance of products in manufacturing or service industries. Lifetime performance indices CL is used to measure the larger-the-better type quality characteristics to evaluate the process performance for the improvement of quality and productivity. The lifetimes of products are assumed to have Burr XII distribution. 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 developed. We use this estimator to build 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:Censored sample;Burr XII distribution;Maximum likelihood estimator;Process capability indices;Testing algorithmic procedure

語言:en

期刊性質:國外

收錄於:SCI

審稿制度:否

國別:USA

出版型式:電子版