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政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/61609

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/61609

Title:	A Framework for Nonparametric Profile Monitoring. online publish
Authors:	楊素芬;洪英超 Chuang, Shih-Chung;Hung, Ying-Chao;Tsai, Wen-Chi;Yang, Su-Fen
Contributors:	統計系
Keywords:	Nonparametric profile monitoring;B-spline;Block bootstrap;Confidence band;Curve depth
Date:	2012.12
Issue Date:	2013-11-11 17:46:31 (UTC+8)
Abstract:	Control charts have been widely used for monitoring the functional relationship between a response variable and some explanatory variable(s) (called profile) in various industrial applications. In this article, we propose an easy-to-implement framework for monitoring nonparametric profiles in both Phase I and Phase II of a control chart scheme. The proposed framework includes the following steps: (i) data cleaning; (ii) fitting B-spline models; (iii) resampling for dependent data using block bootstrap method; (iv) constructing the confidence band based on bootstrap curve depths; and (v) monitoring profiles online based on curve matching. It should be noted that, the proposed method does not require any structural assumptions on the data and, it can appropriately accommodate the dependence structure of the within-profile observations. We illustrate and evaluate our proposed framework by using a real data set.
Relation:	Computers and Industrial Engineering, 64(1), 482-491
Data Type:	article
DOI 連結:	http://dx.doi.org/http://dx.doi.org/10.1016/j.cie.2012.08.006
DOI:	10.1016/j.cie.2012.08.006
Appears in Collections:	[統計學系] 期刊論文

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