| dc.contributor | 國立政治大學統計學系 | en_US |
| dc.contributor | 行政院國家科學委員會 | en_US |
| dc.creator (作者) | 鄭宗記 | zh_TW |
| dc.date (日期) | 2011 | en_US |
| dc.date.accessioned | 30-Aug-2012 09:59:25 (UTC+8) | - |
| dc.date.available | 30-Aug-2012 09:59:25 (UTC+8) | - |
| dc.date.issued (上傳時間) | 30-Aug-2012 09:59:25 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/53406 | - |
| dc.description.abstract (摘要) | Profile monitoring is a relatively new technique and becoming popular in the area of quality control, as it is used when the process is characterized by a profile at each time period. This project considers the situation where profiles are modeled parametrically using a multiple linear regression model 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 average run length criterion. A real data example is implemented to illustrate the results, in which both phase I and phase II schemes are considered. | en_US |
| dc.description.abstract (摘要) | 剖面曲線監測（profile monitoring）在品質管制的領域中，是一相對新且漸為受到重視的方法；其應用於在給定的時間內，以一剖面曲線（profile）描繪該一製程。本研究計畫主要討論的剖面曲線為誤差具自我相關移動平均過程（autoregressive moving-average process）的複迴歸模型，將提出相關統計方法在此類剖面曲線的製程下，藉以發現失控樣本的診斷設計。研究以電腦模擬方式檢驗所提出的方法；同時，藉由一個實際的資料分析陳示此方法。 | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | 基礎研究 | en_US |
| dc.relation (關聯) | 學術補助 | en_US |
| dc.relation (關聯) | 研究期間:10008~ 10107 | en_US |
| dc.relation (關聯) | 研究經費:356仟元 | en_US |
| dc.subject (關鍵詞) | 誤差相關;Hotelling‘s T2 統計量;統計製程管制。 | en_US |
| dc.title (題名) | 具相關誤差之線性迴歸模型的剖面曲線監測 | zh_TW |
| dc.title.alternative (其他題名) | Monitoring Profile Based on a Linear Regression Model with Correlated Errors | en_US |
| dc.type (資料類型) | report | en |
