A Statistical Control Chart forMonitoring High-dimensional Poisson Data Streams

被引:12
|
作者
Wang, Zhiyuan [1 ]
Li, Yanting [1 ]
Zhou, Xiaojun [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Ind Engn & Management, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
multiple Poisson data; average run length; statistical process control; two-sided shift; goodness of fit; FALSE DISCOVERY RATE; COUNT DATA; SCHEMES;
D O I
10.1002/qre.2005
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Multivariate count data are popular in the quality monitoring of manufacturing and service industries. However, seldom effort has been paid on high-dimensional Poisson data and two-sided mean shift situation. In this article, a hybrid control chart for independent multivariate Poisson data is proposed. The new chart was constructed based on the test of goodness of fit, and the monitoring procedure of the chart was shown. The performance of the proposed chart was evaluated using Monte Carlo simulation. Numerical experiments show that the new chart is very powerful and sensitive at detecting both positive and negative mean shifts. Meanwhile, it is more robust than other existing multiple Poisson charts for both independent and correlated variables. Besides, a newstandardization method for Poisson datawas developed in this article. A real examplewas also shown to illustrate the detailed steps of the new chart. Copyright (C) 2016 JohnWiley & Sons, Ltd.
引用
收藏
页码:307 / 321
页数:15
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