Construction Robust -Chart and Compare it with Hotelling’s T2-Chart


  • Bekhal Samad Sedeeq Department of Statistics and Informatics, College of Administration and Economics, Salahaddin-Erbil
  • Zainab Abdulla Muhammad Department of Statistics and Informatics, College of Administration and Economics, Salahaddin University-Erbil
  • Israa Muayad Ali Department of Statistics and Informatics, College of Administration and Economics, Salahaddin University-Erbil
  • Taha Hussein Ali Department of Statistics and Informatics, College of Administration and Economics, Salahaddin University-Erbil



Multivariate Quality Control Charts, Robust, Outliers, T2-Chart.


This paper proposes a new multivariate   chart corresponding to a T2- chart robust to outliers using three methods, namely the Rousseuw and Leroy algorithm, Maronna and Zamar, and the family of "concentration algorithms" by Olive and Hawkins. Then the comparison between the proposed and classical method of the researcher Shewhart depending on the total variance (trace variance matrix) and the general variance (determinant of the variance matrix) to obtain the most efficient paintings against outliers through simulation and real data and using a program in MATLAB language designed for this purpose. The study concluded that the proposed charts dealt with the problem of the influence of outliers and were more efficient than the classical method.


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How to Cite

Samad Sedeeq, B. ., Muhammad, Z. A. ., Ali, I. M. ., & Ali, T. H. . (2024). Construction Robust -Chart and Compare it with Hotelling’s T2-Chart. Zanco Journal of Human Sciences, 28(1), 140–157.