Weighted robust improved KL M-estimators for linear regression model in presence of multicollinearity and outliers: simulation and applications

In the presence of multicollinearity and outliers, the ordinary least squares (OLS) estimator becomes unstable. In addition, existing ridge and robust ridge estimators tend to become ineffective when there is significant contamination. This paper presents a novel class of weighted robust improved Ki...

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Detalles Bibliográficos

Autores principales:	Danish Wasim, Qamruz Zaman, Sidra Nawaz, B. M. Golam Kibria
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Taylor & Francis 2026-03-01
Colección:	Research in Statistics
Materias:	Multicollinearity Improve Kibria Lukman (IKL) estimators OLS Ridge regression (RR) Robust ridge regression (RRR) Robust IKL estimators
Acceso en línea:	https://www.tandfonline.com/doi/10.1080/27684520.2026.2641776
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