A modified reweighted fast consistent and high-breakdown estimator for high-dimensional datasets

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A modified reweighted fast consistent and high-breakdown estimator for high-dimensional datasets

Outlier detection and classification algorithms play a critical role in statistical analysis. The reweighted fast consistent and high breakdown point (RFCH) estimator is an outlier-resistant estimator of multivariate location and dispersion. Still, some difficulties hamper the application of the RFC...

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Bibliographic Details
Main Authors:	A. Baba, Ishaq, Midi, Habshah, June, Leong W., Ibragimov, Gafurjan
Format:	Article
Language:	English
Published:	Elsevier 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/112070/ http://psasir.upm.edu.my/id/eprint/112070/1/1-s2.0-S2772662224000286-main.pdf

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