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| Field |
Value |
| Title: | Monitoring profile based on a linear regression model with correlated errors |
| Authors: | 楊素芬
Cheng, Tsung-Chi;Yang, Su-Fen
鄭宗記 |
| Contributors: | 統計系 |
| Keywords: | Correlated errors; Hotelling’s T2 statistic; statistical process control |
| Date: | 2018 |
| Issue Date: | 2017-04-26 17:04:21 (UTC+8) |
| Abstract: | 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. |
| Relation: | Quality Technology and Quantity Management, Volume 15, Issue 3 , Pages 393-412 |
| Data Type: | article |
| DOI: | http://dx.doi.org/10.1080/16843703.2016.1226595 |
| DCField |
Value |
Language |
| dc.contributor (Contributor) | 統計系 | - |
| dc.creator (Authors) | 楊素芬 | zh_TW |
| dc.creator (Authors) | Cheng, Tsung-Chi;Yang, Su-Fen | - |
| dc.creator (Authors) | 鄭宗記 | - |
| dc.date (Date) | 2018 | - |
| dc.date.accessioned | 2017-04-26 17:04:21 (UTC+8) | - |
| dc.date.available | 2017-04-26 17:04:21 (UTC+8) | - |
| dc.date.issued (Issue Date) | 2017-04-26 17:04:21 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/109231 | - |
| dc.description.abstract (Abstract) | 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 (Relation) | Quality Technology and Quantity Management, Volume 15, Issue 3 , Pages 393-412 | - |
| dc.subject (Keywords) | Correlated errors; Hotelling’s T2 statistic; statistical process control | - |
| dc.title (Title) | Monitoring profile based on a linear regression model with correlated errors | - |
| dc.type (Data Type) | article | - |
| dc.identifier.doi (DOI) | 10.1080/16843703.2016.1226595 | - |
| dc.doi.uri | http://dx.doi.org/10.1080/16843703.2016.1226595 | - |
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