Modified Two-Parameter Ridge Estimators for Enhanced Regression Performance in the Presence of Multicollinearity: Simulations and Medical Data Applications

Predictive regression models often face a common challenge known as multicollinearity. This phenomenon can distort the results, causing models to overfit and produce unreliable coefficient estimates. Ridge regression is a widely used approach that incorporates a regularization term to stabilize para...

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Principais autores:	Muteb Faraj Alharthi, Nadeem Akhtar
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-07-01
Colecção:	Axioms
Assuntos:	regression models multicollinearity ridge estimators mean squared error (MSE) Monte Carlo simulations computational analysis
Acesso em linha:	https://www.mdpi.com/2075-1680/14/7/527
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