Developing a two-parameter Liu estimator for the COM–Poisson regression model: Application and simulation

Developing a two-parameter Liu estimator for the COM–Poisson regression model: Application and simulation

The Conway–Maxwell–Poisson (COMP) model is defined as a flexible count regression model used for over- and under-dispersion cases. In regression analysis, when the explanatory variables are highly correlated, this means that there is a multicollinearity problem in the model. This problem increases t...

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Bibliographic Details
Main Authors: Mohamed R. Abonazel, Fuad A. Awwad, Elsayed Tag Eldin, B. M. Golam Kibria, Ibrahim G. Khattab
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
Conway–Maxwell–Poisson model
Liu regression estimator
modified one-parameter Liu
multicollinearity
ridge regression
Online Access:https://www.frontiersin.org/articles/10.3389/fams.2023.956963/full

Internet

https://www.frontiersin.org/articles/10.3389/fams.2023.956963/full

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