Többváltozós folyamatszabályozás vizsgálata R környezetben = Investigation of multivariate statistical process control in R environment
At the first stage of our work, the theoretical knowledge needed to use the multivariate statistical process control (MSPC) was explored. Last year, we clarified the sometimes confused concepts, equations and formulas (Mihalkó and Rajkó, 2016). At the second stage, R project simulation studies and s...
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| Dokumentumtípus: | Könyv része |
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2017
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| Sorozat: | Proceedings of the International Symposium on Analytical and Environmental Problems
23 |
| Kulcsszavak: | Folyamatszabályozás - többváltozós, Többváltozós függvény - biometria |
| Online Access: | http://acta.bibl.u-szeged.hu/56250 |
| Tartalmi kivonat: | At the first stage of our work, the theoretical knowledge needed to use the multivariate statistical process control (MSPC) was explored. Last year, we clarified the sometimes confused concepts, equations and formulas (Mihalkó and Rajkó, 2016). At the second stage, R project simulation studies and some food industrial practical model investigations are carried out for confirming the MSPC advantages compared with the univariate ones. Furthermore, we analyze, using principal component analysis (PCA), what could cause the outlying values, moreover we will demonstrate how to use the MYT-decomposition. |
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| Terjedelem/Fizikai jellemzők: | 463-468 |
| ISBN: | 978-963-306-563-1 |