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EnglishThis 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
| Titolo: | On the use of principal component analysis for assessing multivariate process capability | |
| Autore/i: | SCAGLIARINI, MICHELE; S. Evangelisti | |
| Autore/i Unibo: | ||
| Anno: | 2011 | |
| Titolo del libro: | CLAGAD 2011, Short Paper Proceedings, USB pen drive | |
| Pagina iniziale: | 1 | |
| Pagina finale: | 4 | |
| 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 | |
| Data prodotto definitivo in UGOV: | 20-giu-2013 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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