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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Muteb Faraj Alharthi, Nadeem Akhtar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-03-01
Edice:	Axioms
Témata:	ridge regression multicollinearity two-parameter estimators mean squared error (MSE) Monte Carlo simulation estimation efficiency
On-line přístup:	https://www.mdpi.com/2075-1680/14/3/186
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!