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.
|
Page generated in 0.014 seconds