Comparison of Some Non-Parametric Quality Control Methods

Authors

• Hiba Mustafa Fawzi, Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
• Asmaa Ghaleeb Jaber, Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq

Abstract

Multivariate Non-Parametric control charts were used to monitoring the data that generated by using the simulation, whether they are within control limits or not. Since that non-parametric methods do not require any assumptions about the distribution of the data. This research aims to apply the multivariate non-parametric quality control methods, which are Multivariate Wilcoxon Signed-Rank ( ) , kernel principal component analysis (KPCA) and k-nearest neighbor ( −

DOI

10.33095/jeas.v27i130.2210

Subject Area

Statistical

First Page

197

Last Page

209

Recommended Citation

Fawzi, H. M., & Jaber, A. G. (2021). Comparison of Some Non-Parametric Quality Control Methods. Journal of Economics and Administrative Sciences, 27(130), 197-209. https://doi.org/10.33095/jeas.v27i130.2210