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stat.CO2024
Bayesian Bell regression model for fitting of overdispersed count data with application
Ameer Musa Imran Alhseeni, Hossein Bevrani
The Bell regression model (BRM) is a statistical model that is often used in the analysis of count data that exhibits overdispersion. In this study, we propose a Bayesian analysis…
stat.CO2024
Shrinkage estimators in zero-inflated Bell regression model with application
Solmaz Seifollahi, Hossein Bevrani, Zakariya Yahya Algamal
We propose Stein-type estimators for zero-inflated Bell regression models by incorporating information on model parameters. These estimators combine the advantages of unrestricted…