| dc.contributor | 統計系 | - |
| dc.creator (作者) | 楊素芬 | zh_TW |
| dc.creator (作者) | Cheng, Tsung-Chi;Yang, Su-Fen | - |
| dc.creator (作者) | 鄭宗記 | - |
| dc.date (日期) | 2018 | - |
| dc.date.accessioned | 26-Apr-2017 17:04:21 (UTC+8) | - |
| dc.date.available | 26-Apr-2017 17:04:21 (UTC+8) | - |
| dc.date.issued (上傳時間) | 26-Apr-2017 17:04:21 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/109231 | - |
| dc.description.abstract (摘要) | Profile monitoring is becoming popular in the area of quality control. It is used when the process is characterized by the relationship between a response variable and some explanatory variables at each time period. This paper considers the situation where profiles are modeled parametrically using a multiple linear regression with random errors following an autoregressive moving-average process. Diagnostic schemes to find out-of-control samples are developed for this purpose. A simulation study examines the performance of the proposed approach based on the average run length criterion. Lastly, a real example illustrates the results, after considering both Phase I and Phase II schemes. | - |
| dc.format.extent | 111 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Quality Technology and Quantity Management, Volume 15, Issue 3 , Pages 393-412 | - |
| dc.subject (關鍵詞) | Correlated errors; Hotelling’s T2 statistic; statistical process control | - |
| dc.title (題名) | Monitoring profile based on a linear regression model with correlated errors | - |
| dc.type (資料類型) | article | - |
| dc.identifier.doi (DOI) | 10.1080/16843703.2016.1226595 | - |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1080/16843703.2016.1226595 | - |
