Árboles de clasificación para el análisis de gráficos de control multivariantes
সংরক্ষণ করুন:
| লেখক: | , , , |
|---|---|
| বিন্যাস: | artículo original |
| বর্তমান অবস্থা: | Versión publicada |
| প্রকাশনার তারিখ: | 2009 |
| বিবরন: | 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. |
| দেশ: | Portal de Revistas UCR |
| প্রতিষ্ঠান: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| ভাষা: | Español |
| OAI Identifier: | oai:archivo.portal.ucr.ac.cr:article/1417 |
| অনলাইন ব্যবহার করুন: | https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/1417 |
| মুখ্য শব্দ: | Statistic Process Control T2 Hotelling Classification trees Control estadístico de la calidad T 2 de Hotelling Árboles de clasificación |