Árboles de clasificación para el análisis de gráficos de control multivariantes

 

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Autoři: Gámez Martínez, Matías, Alfaro Cortés, Esteban, Alfaro Navarro, José Luis, García Rubio, Noelia
Médium: artículo original
Stav:Versión publicada
Datum vydání:2009
Popis:In statistical quality control, one of the most widely used tools are the control charts. The main problem of the multivariate control charts lies in that they only indicate that a change in the process has happened, but they do not show which variable or variables are the source of this change. In the specialized literature thereare many approaches to tackle this problem, although the most usual consists on the decomposition of the T2 statistic. In this research, we propose an alternative method through the application of classification trees. The results show that this method constitutes a good tool to help to interpret the multivariate control charts.
Země:Portal de Revistas UCR
Instituce:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Jazyk:Español
OAI Identifier:oai:archivo.portal.ucr.ac.cr:article/1417
On-line přístup:https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/1417
Klíčové slovo:Statistic Process Control
T2 Hotelling
Classification trees
Control estadístico de la calidad
T 2 de Hotelling
Árboles de clasificación