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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Bibliographic Details
Published in:Scientific Reports
Main Authors: Aamir Raza, Muhammad Noor-ul-Amin, Amel Ayari-Akkari, Muhammad Nabi, Muhammad Usman Aslam
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Subjects:
Ordinary least squares
Outliers
Redescending
Robust regression
Online Access:https://doi.org/10.1038/s41598-024-57906-1

Internet

https://doi.org/10.1038/s41598-024-57906-1

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