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Author

A. Hammad

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3 papers indexed here

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Open access 2026

A Data-Driven Shrinkage for Efficient Estimation in the Generalized Poisson Regression Model: Simulation and Application

Count data in practice rarely conform to the equidispersion assumption that the standard Poisson regression model imposes. When counts are overdispersed or underdispersed, the generalized Poisson regression model (GPRM) steps in as a more accommodating alternative, extending the classical framework to handle such varia...

F. Almulhim, A. Hammad, E. Hussam et al. · 0 citations
Jul 2026

On Estimation and Prediction in Mixed Poisson Regression Models for Overdispersed Count Data with Multicollinearity

Mixed Poisson regression models are widely used for analyzing count data across diverse disciplines, owing to their ability to accommodate overdispersion. A persistent challenge in such models, however, is multicollinearity among explanatory variables, which undermines the reliability of regression coefficient estimate...

O. Alqasem, A. Hammad, M. A. El-Qurashi et al. · 0 citations
Open access Jul 2026

A New Efficient Biased Estimator in Overdispersed Count Regression for Effectively Handling Multicollinearity in COVID-19 Data from Saudi Arabia

An improved shrinkage estimator for the NBRM is proposed, referred to as a novel class of negative binomial Liu-type estimator, aiming to reduce estimation variance while maintaining stable parameter estimates under conditions of multicollinearity.

E. H. Hafez, A. Hammad, R. Aldallal et al. · 0 citations

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