Modified Two-Parameter Liu Estimator for Addressing Multicollinearity in the Poisson Regression Model

Modified Two-Parameter Liu Estimator for Addressing Multicollinearity in the Poisson Regression Model

This study introduces a new two-parameter Liu estimator (PMTPLE) for addressing the multicollinearity problem in the Poisson regression model (PRM). The estimation of the PRM is traditionally accomplished through the Poisson maximum likelihood estimator (PMLE). However, when the explanatory variable...

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Bibliographic Details
Main Authors: Mahmoud M. Abdelwahab, Mohamed R. Abonazel, Ali T. Hammad, Amera M. El-Masry
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Axioms
Subjects:
biased estimators
count regression
Poisson regression model
multicollinearity
Online Access:https://www.mdpi.com/2075-1680/13/1/46

Internet

https://www.mdpi.com/2075-1680/13/1/46

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