期刊論文
| 學年 | 106 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2017-10-01 |
| 作品名稱 | Phase II Monitoring and Diagnosis of Autocorrelated Simple Linear Profiles |
| 作品名稱（其他語言） | |
| 著者 | Yi-Hua Tina Wang; Wan-Hsuan Huang |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Computers & Industrial Engineering 112, p.57-70. |
| 摘要 | If the quality of a process is better represented by a functional relationship between response variables and explanatory variables, a collection of this type of quality data is called a profile. In this paper, we consider the functional relationship which can be represented by a simple linear regression model with a first-order autocorrelation between error terms. We propose exponentially weighted moving average (EWMA) charting schemes to monitor this type of profile. The simulation study shows that our proposed methods outperform the existing schemes based on the average run length (ARL) criterion. We also propose a maximum generalized likelihood ratio method to obtain a change-point estimator to help users determine the assignable causes. |
| 關鍵字 | Simple linear profiles;Change-point estimation;Autocorrelation;Exponentially weighted moving average |
| 語言 | en |
| ISSN | |
| 期刊性質 | 國外 |
| 收錄於 | SCI SSCI |
| 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 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115727 ) |