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1. www.frontiersin.org › journals › applied-mathematicsFrontiers | Generalized Kibria-Lukman Estimator: Method ...

   www.frontiersin.org › journals › applied-mathematics

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   The Kibria-Lukman (KL) estimator is a recent estimator that has been proposed to solve the multicollinearity problem. In this paper, a generalized version of the KL estimator is proposed, along with the optimal biasing parameter of our proposed estimator derived by minimizing the scalar mean squared error.

2. www.sciencedirect.com › science › articleKibria–Lukman estimator for the Conway–Maxwell Poisson ...

   www.sciencedirect.com › science › article

   Mar 1, 2023 · In this paper, we proposed an extended version of the Kibria–Lukman estimator (COMPKL estimator) to the Conway–Maxwell Poisson regression model to reduce the effect of the multicollinearity problem.

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4. www.researchgate.net › publication › 360095086Generalized Kibria-Lukman Estimator: Method, Simulation, and ...

   www.researchgate.net › publication › 360095086

   Apr 1, 2022 · In this study, we proposed a hybrid estimator by combining the Kibria-Lukman estimator with the modified ridge-type estimator. The proposed estimator theoretically dominates the existing...

5. www.nature.com › articles › s41598/022/16689-zOn the mixed Kibria–Lukman estimator for the linear ...

   www.nature.com › articles › s41598/022/16689-z

   Jul 20, 2022 · Kibria and Lukman 14 proposed Kibria–Lukman estimator by combining ridge estimator and Liu estimator. In practice, in addition to the sample information given by model ( 1 ), additional ...

6. www.academia.edu › 88400166 › Generalized_KibriaGeneralized Kibria-Lukman Estimator: Method, Simulation, and ...

   www.academia.edu › 88400166 › Generalized_Kibria

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   In the linear regression model, the multicollinearity effects on the ordinary least squares (OLS) estimator performance make it inefficient. To solve this, several estimators are given. The Kibria-Lukman (KL) estimator is a recent estimator that has

7. www.tandfonline.com › doi › fullKibria–Lukman estimator for the zero inflated negative ...

   www.tandfonline.com › doi › full

   Dec 12, 2023 · Kibria–Lukman estimator for the zero inflated negative binomial regression model: theory, simulation and applications. The zero inflated negative binomial model is an appropriate choice to model count response variables with excessive zeros and over-dispersion simultaneously.

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   What is the Kibria-Lukman estimator?

   • The Kibria-Lukman (KL) estimator is a recent estimator that has been proposed to solve the multicollinearity problem. In this paper, a generalized version of the KL estimator is proposed, along with the optimal biasing parameter of our proposed estimator derived by minimizing the scalar mean squared error.

   (PDF) Generalized Kibria-Lukman Estimator: Method, Simulation, and

   www.researchgate.net/publication/360095086_Generalized_Kibria-Lukman_Estimator_Method_Simulation_and_Application

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   What is Kibria Lukman (KL) estimator?

   • As an alternative to the ridge and Liu estimators, Kibria and Lukman proposed new ridge–type estimator to resolve the issue of multicollinearity in the linear regression model. This estimator is called the Kibria–Lukman (KL) estimator.

   Kibria–Lukman estimator for the Conway–Maxwell Poisson regression m…

   www.sciencedirect.com/science/article/pii/S2468227623000121

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   Does Kibria-Lukman estimator reduce multicollinearity?

   • In this paper, we proposed an extended version of the Kibria–Lukman estimator (COMPKL estimator) to the Conway–Maxwell Poisson regression model to reduce the effect of the multicollinearity problem. We demonstrated that our proposed estimator is more efficient than previous biased estimators proposed in the literature (ridge and Liu estimators).

   Kibria–Lukman estimator for the Conway–Maxwell Poisson regression m…

   www.sciencedirect.com/science/article/pii/S2468227623000121

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   How is the performance of the proposed estimator compared with OLS?

   • Theoretically, the performance of the proposed estimator is compared with the OLS, the generalized ridge, the generalized Liu, and the KL estimators by the matrix mean squared error. Furthermore, a simulation study and the numerical example were performed for comparing the performance of the proposed estimator with the OLS and the KL estimators.

   (PDF) Generalized Kibria-Lukman Estimator: Method, Simulation, and

   www.researchgate.net/publication/360095086_Generalized_Kibria-Lukman_Estimator_Method_Simulation_and_Application

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9. www.researchgate.net › publication › 360095086GeneralizedKibria-Lukman Estimator:Method,Simulation,and ...

   www.researchgate.net › publication › 360095086

   called the Kibria–Lukman (KL) estimator which is defined by βˆ KL = (X ′ X +kI p ) −1 (X ′ X −kI p )βˆ,k > 0 This estimator has been extended for use in different generalized