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Monitoring Highly Correlated Multivariate Processes Using Hotelling'sn T-2 Statistic: Problems and Possible Solutions

机译:使用Hotelling的n T-2统计数据监控高度相关的多元过程:问题和可能的解决方案

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摘要

Hotelling's T-2 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 T-2 statistic when the quality variable measures are highly correlated and provides some solutions that will help mitigate the risks with applying the Hotelling's T-2 control charts in such practical examples. Copyright (C) 2014 John W
机译:Hotelling的T-2统计数据是连续多元数据的默认控制统计数据,但是如果没有适当级别的制衡,应用该统计数据有危险。本文讨论了质量变量测度高度相关时使用Hotelling的T-2统计量的潜在问题,并提供了一些解决方案,这些解决方案将有助于在此类实际示例中应用Hotelling的T-2控制图来减轻风险。版权所有(C)2014 John W

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