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政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/61597

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/61597

Title:	A new non-parametric CUSUM mean chart
Authors:	楊素芬 Yang, S.-F.;Cheng, S. W
Contributors:	統計系
Keywords:	CUSUM chart;process mean;binomial distribution;beta distribution;ARL
Date:	2011.12
Issue Date:	2013-11-11 17:44:06 (UTC+8)
Abstract:	Not all data in practice came from a process with normal distribution. When the process distribution is non-normal or unknown, the commonly used Shewhart control charts are not suitable. In this paper, a new non-parametric CUSUM Mean Chart is proposed to monitor the possible small mean shifts in the process. The sampling properties of the new monitoring statistics are examined and the average run lengths of the proposed chart are examined. Two numerical examples are used to illustrate the proposed chart and compare with the two existing charts, assuming normality and Beta distribution, respectively. The CUSUM Mean Chart showed better detection ability than those two charts in monitoring and detecting small process mean shifts. Copyright © 2010 John Wiley & Sons, Ltd.
Relation:	Quality and reliability engineering international, 27(7) , 867-875
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1002/qre.1171
DOI:	10.1002/qre.1171
Appears in Collections:	[統計學系] 期刊論文

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