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政大機構典藏 > 商學院 > 統計學系 > 國科會研究計畫 > Item 140.119/53406

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/53406

Title:	具相關誤差之線性迴歸模型的剖面曲線監測
Other Titles:	Monitoring Profile Based on a Linear Regression Model with Correlated Errors
Authors:	鄭宗記
Contributors:	國立政治大學統計學系行政院國家科學委員會
Keywords:	誤差相關;Hotelling‘s T2 統計量;統計製程管制。
Date:	2011
Issue Date:	2012-08-30 09:59:25 (UTC+8)
Abstract:	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. 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。
Relation:	基礎研究學術補助研究期間:10008~ 10107 研究經費:356仟元
Data Type:	report
Appears in Collections:	[統計學系] 國科會研究計畫

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