| dc.contributor | 統計系 | en_US |
| dc.creator (作者) | 楊素芬 | zh_TW |
| dc.creator (作者) | Yang, S.-F. ; Cheng, S. W | - |
| dc.date (日期) | 2011.12 | en_US |
| dc.date.accessioned | 11-十一月-2013 17:44:06 (UTC+8) | - |
| dc.date.available | 11-十一月-2013 17:44:06 (UTC+8) | - |
| dc.date.issued (上傳時間) | 11-十一月-2013 17:44:06 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/61597 | - |
| dc.description.abstract (摘要) | Not all data in practice came from a process with normal distribution. When the process distribution is non-normal or unknown, the commonly used Shewhart control charts are not suitable. In this paper, a new non-parametric CUSUM Mean Chart is proposed to monitor the possible small mean shifts in the process. The sampling properties of the new monitoring statistics are examined and the average run lengths of the proposed chart are examined. Two numerical examples are used to illustrate the proposed chart and compare with the two existing charts, assuming normality and Beta distribution, respectively. The CUSUM Mean Chart showed better detection ability than those two charts in monitoring and detecting small process mean shifts. Copyright © 2010 John Wiley & Sons, Ltd. | en_US |
| dc.format.extent | 340603 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Quality and reliability engineering international, 27(7) , 867-875 | en_US |
| dc.subject (關鍵詞) | CUSUM chart;process mean;binomial distribution;beta distribution;ARL | en_US |
| dc.title (題名) | A new non-parametric CUSUM mean chart | en_US |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1002/qre.1171 | - |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1002/qre.1171 | - |
