Okwonu, Friday Zinzendoff and Md Yusof, Zahayu (2019) Performance Analysis of Robust Locations Estimators. Journal of Physics: Conference Series, 1529. pp. 1-13. ISSN 1742-6588

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Abstract

This paper describes novel computational procedures that reduces the influence of outliers by transformational process. It transforms the influential observations to moderate data points. The procedures utilize all the information contained in the data set. These techniques are compared with the existing robust procedures, such as the weighted mean based on Mahalanobis distance, minimum covariance determinant (MCD), trimmed and winsorized mean. The performance analysis showed that the proposed techniques performed comparably with the wellestablished robust procedures based on the real data set

Item Type:	Article
Uncontrolled Keywords:	Mean; Trimmed mean; Winsorized mean; MCD; Mahalanobis distance
Subjects:	Q Science > QA Mathematics
Divisions:	School of Quantitative Sciences
Depositing User:	Mdm. Sarkina Mat Saad @ Shaari
Date Deposited:	23 Jun 2024 09:23
Last Modified:	23 Jun 2024 09:23
URI:	https://repo.uum.edu.my/id/eprint/30924

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