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E. H. Hafez

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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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