期刊論文
| 學年 | 97 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2009-06-01 |
| 作品名稱 | Selecting the best process based on capability index via empirical Bayes approach |
| 作品名稱（其他語言） | |
| 著者 | 黃文濤; Huang, Wen-tao; Lai, Yao-tsung |
| 單位 | 淡江大學經營決策學系 |
| 出版者 | Taylor & Francis |
| 著錄名稱、卷期、頁數 | Communications in Statistics : Theory and Methods 38(10), pp.1576-1588 |
| 摘要 | Consider k (k ≥ 2) manufacturing processes whose mean θi, variance and process capability index Cpw (i), i = 1,…, k, are all unknown. For two given control values Cpw (0) and , we are interested in selecting some process whose capability index is no less than Cpw (0) and is the largest in the qualified subset in which each process variance is no larger than . Under a Bayes framework, we consider the normally distributed manufacturing processes taking normal-gamma as its conjugate prior. A Bayes approach is set up and an empirical Bayes procedure is proposed which has been shown to be asymptotically optimal. A simulation study is carried out for the performance of the proposed procedure and it is found practically useful. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 0361-0926 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 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/987654321/50415 ) |