The effects of violations of the multivariate normality assumption in multivariate Shewhart and MEWMA control charts

被引：11
|
作者：
Nidsunkid, Sudarat [1 ]
Borkowski, John J. [2 ]
Budsaba, Kamon [1 ]
机构：
[1] Thammasat Univ, Dept Math & Stat, Pathum Thani, Thailand
[2] Montana State Univ, Dept Math Sci, Bozeman, MT 59717 USA
来源：
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | 2017年 / 33卷 / 08期
关键词：
average run length; MEWMA control chart; multivariate distributions; multivariate Shewhart control chart; standarad deviation of run length; AVERAGE CONTROL CHART;
D O I：
10.1002/qre.2218
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A multivariate Shewhart and a multivariate exponentially weighted moving average control charts are types of multivariate control charts for monitoring the mean vector. For those control charts, a multivariate normal distribution is an important assumption that is used to describe a behavior of a set of quality characteristics of interest. This research explores the sensitivity of average run lengths and standard deviation of run lengths for the multivariate Shewhart and the multivariate exponentially weighted moving average control charts when the normality assumption is incorrect.
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页码：2563 / 2576
页数：14
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