A redescending M-estimator approach for outlier-resilient modeling
Abstract The OLS model is built on the assumption of normality in the distribution of error terms. However, this assumption can be easily violated, especially when there are outliers in the data. A single outlier can disrupt the normality assumption of error terms, making the OLS model less effectiv...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2024-03-01
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| Schriftenreihe: | Scientific Reports |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1038/s41598-024-57906-1 |
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