Monitoring Highly Correlated Multivariate Processes Using Hotelling's T2 Statistic: Problems and Possible Solutions

Monitoring Highly Correlated Multivariate Processes Using Hotelling's T2 Statistic: Problems and Possible Solutions

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Article ID: iaor201528930
Volume: 31
Issue: 6
Start Page Number: 1089
End Page Number: 1097
Publication Date: Oct 2015
Journal: Quality and Reliability Engineering International
Authors:
Keywords: statistics: general, statistics: multivariate
Abstract:

Hotelling's T2 statistic is the default control statistic for continuous multivariate data, but there are dangers in applying this statistic without the appropriate level of checks and balances. This paper discusses the potential issues with using the Hotelling's T2 statistic when the quality variable measures are highly correlated and provides some solutions that will help mitigate the risks with applying the Hotelling's T2 control charts in such practical examples.

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