期刊論文
| 學年 | 97 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2009-06-01 |
| 作品名稱 | A simulation comparison study for estimating the process capability index C*pm with asymmetric tolerances |
| 作品名稱（其他語言） | |
| 著者 | Wu, Shu-Fei |
| 單位 | 淡江大學統計學系 |
| 出版者 | 臺北縣：淡江大學 |
| 著錄名稱、卷期、頁數 | International Journal of Information and Management Sciences 20(2), pp.243-253 |
| 摘要 | Process capability indices had been widely used to evaluate the process performance. The process capability index proposed by Chan et al. [2] does take into account of the proximity of the process mean to the target value T for asymmetric tolerance. For point estimation of this index, a Jackknife method is presented to reduce bias. Five interval estimation methods for obtaining approximate confidence intervals are presented and compared. One is based on the chi-squared approximation to the distribution of the natural estimator of given in Boyles [1], three are based on the bootstrap including standard bootstrap (SB), percentile bootstrap (PB) and bisaed-corrected percentile bootstrap (BCPB) and the last one is based on the Jackknife technique. A simulation comparison study of the performance of five methods is done under normal process environment and the results show that the Jackknife interval outperforms the other four methods. Boyles's [1] confidence interval and the SB confidence interval are more reliable than the PB and BCPB methods. At last, one real life example is used to demonstrate the use of the confidence interval to decide if the process is capable. |
| 關鍵字 | process capability index;bootstrap method;jackknife method |
| 語言 | en |
| ISSN | 1017-1819 |
| 期刊性質 | 國際 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | 紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/69154 ) |