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A Control Chart Based on Cluster-Regression Adjustment for Retrospective Monitoring of Individual Characteristics
The tendency for experimental and industrial variables to include a certain proportion of outliers has become a rule rather than an exception. These clusters of outliers, if left undetected, have the capability to distort the mean and the covariance matrix of the Hotelling’s T (2) multivariate contr...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4414606/ https://www.ncbi.nlm.nih.gov/pubmed/25923739 http://dx.doi.org/10.1371/journal.pone.0125835 |