International Journal of Nonlinear Analysis and Applications

Predicting of infected People with Corona virus (covid-19) by using Non-Parametric Quality Control Charts

Document Type : Research Paper

Authors

Department of statistics, college of administration and Economics, University of Baghdad, Iraq

Abstract

Quality control Charts were used to monitor the number of infections with the emerging corona virus (Covid-19) for the purpose of predicting the extent of the disease's control, knowing the extent of its spread, and determining the injuries if they were within or outside the limits of the control charts. The research aims to use each of the control chart of the (Kernel Principal Component Analysis Control Chart) and (K- Nearest Neighbor Control Chart). As (18) variables representing the governorates of Iraq were used, depending on the daily epidemiological position of the Public Health Department of the Iraqi Ministry of Health. To compare the performance of the charts, a measure of average length of run was adopted, as the results showed that the number of infection with the new Corona virus is out of control, and that the (KNN) chart had better performance in the short term with a relative equality in the performance of the two charts in the medium and long rang

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 13, Issue 1
March 2022
Pages 2115-2126
  • Receive Date: 02 May 2021
  • Revise Date: 20 October 2021
  • Accept Date: 30 October 2021