| dc.contributor | 統計系 | en_US |
| dc.creator (作者) | Yang,Su-Fen;Lin,Jheng-Sian;Cheng,Smiley W. | en_US |
| dc.date (日期) | 2011.05 | en_US |
| dc.date.accessioned | 11-Nov-2014 11:03:25 (UTC+8) | - |
| dc.date.available | 11-Nov-2014 11:03:25 (UTC+8) | - |
| dc.date.issued (上傳時間) | 11-Nov-2014 11:03:25 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/71326 | - |
| dc.description.abstract (摘要) | Many data in practice came from a population/process with a non-normal or often unknown distribution, hence the commonly-used Shewhart control chart, which requires normality of the monitoring statistics, is not suitable. In this paper, a new nonparametric EWMA Sign Control Chart is proposed for monitoring and detecting possible deviation from the process target. The sampling properties of the new monitoring statistics are examined and the average run lengths of the proposed chart are derived for evaluating its performance. An example is used to illustrate the proposed chart and compare with other existing charts, assuming normality. Furthermore, an arcsine transformed EWMA Sign Chart is examined and proposed. The average run lengths of the Arcsine EWMA Chart are more reasonable than those of the EWMA Sign Chart. The Arcsine EWMA Sign Chart is recommended if we were concerned with the proper values of the average run length. | en_US |
| dc.format.extent | 346025 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Expert Systems with Applications,38(5),6239-6243 | en_US |
| dc.subject (關鍵詞) | EWMA Sign Chart; Process target; Binomial distribution | en_US |
| dc.title (題名) | A new nonparametric EWMA Sign Control Chart | en_US |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1016/j.eswa.2010.11.044 | - |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1016/j.eswa.2010.11.044 | - |
