This paper studies the effects of multivariate measurement errors on mul- tivariate capability indices computed using the principal components analysis. This study shows that measurement errors influence the results of a multivariate process capability analysis, resulting in either a decrease or an increase in the capability of the process. To avoid unreliable conclusions a method is proposed for overcom- ing the effects of measurement errors. Furthermore, a statistical test that allows one to determine whether measurement errors alter the process covariance structure is discussed

On the Use of Principal Components for Assessing Multivariate Process Capability

SCAGLIARINI, MICHELE;
2011

Abstract

This paper studies the effects of multivariate measurement errors on mul- tivariate capability indices computed using the principal components analysis. This study shows that measurement errors influence the results of a multivariate process capability analysis, resulting in either a decrease or an increase in the capability of the process. To avoid unreliable conclusions a method is proposed for overcom- ing the effects of measurement errors. Furthermore, a statistical test that allows one to determine whether measurement errors alter the process covariance structure is discussed
CLADAG 2011 Book of Abstracts
46
46
M. Scagliarini; S.Evangelisti
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/106586
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