期刊論文
| 學年 | 107 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2018-10-01 |
| 作品名稱 | Robust control charts for percentiles based on location-scale family of distributions |
| 作品名稱（其他語言） | |
| 著者 | J-Y Chiang; YL Lio; HKT Ng; T-R Tsai |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Quality and Reliability Engineering International 34(6), p.1059-1078 |
| 摘要 | In this paper, robust control charts for percentiles based on location-scale family of distributions are proposed. In the construction of control charts for percentiles, when the underlying distribution of the quality measurement is unknown, we study the problem of discriminating different possible candidate distributions in the location-scale family of distributions and obtain control charts for percentiles which are insensitive to model mis-specification. Two approaches, namely, the random data-driven model selection approach and weighted modeling approach, are used to construct the robust control charts for percentiles in order to effectively monitor the manufacturing process. Monte Carlo simulation studies are conducted to evaluate the performance of the proposed robust control charts for various settings with different percentiles, false-alarm rates, and sample sizes. These proposed procedures are compared in terms of the average run length. The proposed robust control charts are applied to real data sets for the illustration of robustness and usefulness. |
| 關鍵字 | control chart;discrimination;maximum likelihood estimate;percentiles |
| 語言 | en_US |
| ISSN | 1099-1638 |
| 期刊性質 | 國外 |
| 收錄於 | SCI Scopus |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | GBR |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/121819 ) |