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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

用拔靴法建構無母數剖面資料監控之信賴帶 / Nonparametric profile monitoring via bootstrap percentile confidence bands

謝至芬 Unknown Date (has links)
近年來剖面資料的監控在統計製程控制中有很大範圍的應用。在這篇論文裡,我們針對監控無母數剖面資料提出一個實務上的操作方法。這個操作方法有下列這些重要的特色:(1)使用一個靈活且有計算效率的無母數模型B-spline來描述反應變數與解釋變數的關係;(2)一般迴歸模型中之殘差結構假設是不需要的;(3)允許剖面資料內之觀測值間具有相關性之結構。最後,我們利用一個無線偵測器的實際資料來評估所提出方法的效率。 / Profile monitoring has received increasingly attention in a wide range of applications in statistical process control (SPC). In this work, we propose a practical proposed guide which has the following important features: (i) a flexible and computationally efficient smoothing technique, called the B-spline, is employed to describe the relationship between the response variable and the explanatory variable(s); (ii) the usual structural assumptions on the residuals are not require; and (iii) the dependence structure for the within-profile observations is appropriately accommodated. Finally, a real data set from a wireless sensor is used to evaluate the efficiency of our proposed method.

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