Modified Kibria–Lukman Estimator for the Conway–Maxwell–Poisson Regression Model: Simulation and Application

Modified Kibria–Lukman Estimator for the Conway–Maxwell–Poisson Regression Model: Simulation and Application

This study presents a novel estimator that combines the Kibria–Lukman and ridge estimators to address the challenges of multicollinearity in Conway–Maxwell–Poisson (COMP) regression models. The Conventional COMP Maximum Likelihood Estimator (CMLE) is notably susceptible to the adverse effects of mul...

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Bibliographic Details
Main Authors: Nasser A. Alreshidi, Masad A. Alrasheedi, Adewale F. Lukman, Hleil Alrweili, Rasha A. Farghali
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematics
Subjects:
COMP regression models
multicollinearity
over-dispersion
Kibria–Lukman estimator
ridge estimator
Online Access:https://www.mdpi.com/2227-7390/13/5/794
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