Árboles de clasificación para el análisis de gráficos de control multivariantes
Tallennettuna:
| Tekijät: | , , , |
|---|---|
| Aineistotyyppi: | artículo original |
| Tila: | Versión publicada |
| Julkaisupäivä: | 2009 |
| Kuvaus: | 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. |
| Maa: | Portal de Revistas UCR |
| Organisaatio: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Kieli: | Español |
| OAI Identifier: | oai:archivo.portal.ucr.ac.cr:article/1417 |
| Linkit: | https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/1417 |
| Sanahaku: | Statistic Process Control T2 Hotelling Classification trees Control estadístico de la calidad T 2 de Hotelling Árboles de clasificación |