Statistical process monitoring using an empirical Bayes multivariate process control chart

被引：7
|
作者：
Feltz, CJ [1 ]
Shiau, JJH
机构：
[1] No Illinois Univ, Div Stat, De Kalb, IL 60115 USA
[2] Natl Chiao Tung Univ, Inst Stat, Hsinchu, Taiwan
来源：
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | 2001年 / 17卷 / 02期
关键词：
multivariate; quality control; on-line;
D O I：
10.1002/qre.393
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, we describe the theory underlying an empirical Bayesian approach to monitoring two or more process characteristics simultaneously. If the, data is continuous and multivariate in nature, often the multivariate normal distribution can be used to model the process. Then, using Bayesian theory: we develop techniques to implement empirical Bayes process monitoring of the multivariable process. Lastly, an example is given to illustrate the use of our techniques. Copyright (C) 2001 John Wiley & Sons, Ltd.
引用
收藏
页码：119 / 124
页数：6
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