Mihalkó József and Rajkó Róbert: Investigation of multivariate statistical process control in R environment. In: Review of faculty of engineering : analecta technica Szegedinensia, (11) 2. pp. 36-40. (2017)
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Abstract
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 [1]. 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 analyse, using principal component analysis (PCA), what could cause the outlying values. Moreover, we will demonstrate how to use the MYTdecomposition.
| Item Type: | Article |
|---|---|
| Journal or Publication Title: | Review of faculty of engineering : analecta technica Szegedinensia |
| Date: | 2017 |
| Volume: | 11 |
| Number: | 2 |
| ISSN: | 2064-7964 |
| Page Range: | pp. 36-40 |
| Related URLs: | http://acta.bibl.u-szeged.hu/54749/ |
| Uncontrolled Keywords: | Folyamatszabályozás - többváltozós, Többváltozós függvény - biometria |
| Additional Information: | Bibliogr.: 40. p. ; Összefoglalás angol nyelven |
| Date Deposited: | 2018. Jul. 25. 09:15 |
| Last Modified: | 2021. Jan. 26. 15:26 |
| URI: | http://acta.bibl.u-szeged.hu/id/eprint/54829 |
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