A Comparative Study of Some Two –Parameter Ridge-Type and Liu-Type Estimators to Combat Multicollinearity Problem in Regression Models: Simulation and Application

In multiple linear regression analysis, the ordinary least squares (OLS) method has been the most popular technique for estimating parameters of linear regression model due to its optimal properties. OLS estimator may fail when the assumption of independence is violated. This assumption can be viola...

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Autor principal:	Wael Saad Hsanein El-doakly
Format:	Artigo
Idioma:	Árabe
Publicat:	Ain Shams University, Faculty of Commerce 2024-12-01
Col·lecció:	المجلة العلمية للاقتصاد والتجارة
Matèries:	Multicollinearity Mean square error Two-parameter estimator Simulation Owolabi estimators Almost Unbiased Modified Ridge-Type Estimator (AUMRTE) Liu Dawoud-Kibria (LDK) estimator Adaptive (K-d) class estimator (AKDE) Liu-Kibria Lukman (LKL) estimator Modified Unbiased Optimal Estimator (MUOE)
Accés en línia:	https://jsec.journals.ekb.eg/article_395938_6ae0a44d1d869be749751dc8182cf349.pdf
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