Comparison of Some Non-Parametric Quality Control Methods

Authors

  • Hiba Mustafa Fawzi
  • Asmaa Ghalib Jaber

DOI:

https://doi.org/10.33095/jeas.v27i130.2210

Keywords:

Quality Control , Non-Parametric Control Chart , Average Run Length, K- Nearest Neighbor , Kernel Principal Component Analysis , Wilcoxon Signed-Rank

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 (

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Published

2021-12-01

How to Cite

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

Issue

Section

Statistical Researches