Comparison of Robust Estimators’ Performance for Detecting Outliers in Multivariate Data

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Comparison of Robust Estimators’ Performance for Detecting Outliers in Multivariate Data

In multivariate data, outliers are difficult to detect especially when the dimension of the data increase. Mahalanobis distance (MD) has been one of the classical methods to detect outliers for multivariate data. However, the classical mean and covariance matrix in MD suffered from masking and swamp...

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Bibliographic Details
Main Authors:	Sharifah Sakinah, Syed Abd Mutalib, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff
Format:	Article
Language:	English
Published:	Universiti Teknologi MARA (UiTM) 2021
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/32427/ http://umpir.ump.edu.my/id/eprint/32427/8/Comparison%20of%20Robust%20Estimators.pdf

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