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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/112070/1/1-s2.0-S2772662224000286-main.pdf http://psasir.upm.edu.my/id/eprint/112070/ https://www.sciencedirect.com/science/article/pii/S2772662224000286?via%3Dihub |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |