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 [1]. At the second stage, R project simulation studies and some food industrial p...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Mihalkó József
Rajkó Róbert
Dokumentumtípus: Cikk
Megjelent: 2017
Sorozat:Review of faculty of engineering : analecta technica Szegedinensia 11 No. 2
Kulcsszavak:Folyamatszabályozás - többváltozós, Többváltozós függvény - biometria
Online Access:http://acta.bibl.u-szeged.hu/54829
Leíró adatok
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 [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.
Terjedelem/Fizikai jellemzők:36-40
ISSN:2064-7964