ArticleScientific reports2023
Robust-stein estimator for overcoming outliers and multicollinearity.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Robust estimation methods for addressing multicollinearity and outliers in beta regression models.Scientific reports · 2025Article
- Article
- Emotional and Work-Related Factors in the Self-Assessment of Work Ability among Italian Healthcare Workers.Healthcare (Basel, Switzerland) · 2024Article
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Authors and funding
4 authors.
Funding
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Abstract
Linear regression models with correlated regressors can negatively impact the performance of ordinary least squares estimators. The Stein and ridge estimators have been proposed as alternative techniques to improve estimation accuracy. However, both methods are non-robust to outliers. In previous studies, the M-estimator has been used in combination with the ridge estimator to address both correlated regressors and outliers. In this paper, we introduce the robust Stein estimator to address both issues simultaneously. Our simulation and application results demonstrate that the proposed technique performs favorably compared to existing methods.
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Registered trials
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