Newly Improved Two-Parameter Ridge Estimators: A Better Approach for Mitigating Multicollinearity in Regression Analysis

This study tackles the common issues of multicollinearity arising in regression models due to high correlations among predictor variables, leading to unreliable coefficient estimates and inflated variances, ultimately affecting the model’s accuracy. To address this issue, we introduce four improved...

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Detalhes bibliográficos

Principais autores:	Muteb Faraj Alharthi, Nadeem Akhtar
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-03-01
Colecção:	Axioms
Assuntos:	ridge regression multicollinearity two-parameter estimators mean squared error (MSE) Monte Carlo simulation estimation efficiency
Acesso em linha:	https://www.mdpi.com/2075-1680/14/3/186
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