期刊論文
| 學年 | 106 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2018-01-15 |
| 作品名稱 | A computational algorithm for the evaluation on the lifetime performance index of products with Rayleigh distribution under progressive type I interval censoring |
| 作品名稱（其他語言） | |
| 著者 | Shu-Fei Wu; Ying-Tzu Lin; Wen-Jui Chang; Chia-Wei Chang; Chen Lin |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Journal of Computational and Applied Mathematics 328, p.508-519 |
| 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 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 Rayleigh 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;Rayleigh 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/987654321/116852 ) |