Investigation of multivariate statistical process control in R environment

Mihalkó, József and Rajkó, Róbert: Investigation of multivariate statistical process control in R environment. 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
Page Range: pp. 36-40
ISSN: 2064-7964
Uncontrolled Keywords: Folyamatszabályozás - többváltozós, Többváltozós függvény - biometria
Additional Information: Bibliogr.: 40. p. ; Összefoglalás angol nyelven
Date Deposited: 2018. Jul. 25. 09:15
Last Modified: 2018. Jul. 25. 09:15
URI: http://acta.bibl.u-szeged.hu/id/eprint/54829

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