Comparison of robust estimators for detecting outliers in multivariate datasets

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Comparison of robust estimators for detecting outliers in multivariate datasets

Detecting outliers for multivariate data is difficult and does not work by visual inspection. Mahalanobis distance (MD) has been a classical method to detect outliers in multivariate data. However, classical mean and covariance matrix in MD suffer from masking and swamping effects. Masking effects h...

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Bibliographic Details
Main Authors:	Sharifah Sakinah, Syed Abd Mutalib, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2021
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/35199/ http://umpir.ump.edu.my/id/eprint/35199/1/Comparison%20of%20robust%20estimators%20for%20detecting%20outliers%20in%20multivariate%20datasets.pdf

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