1 citations · 2 across the 8 of their papers we have counts for
8 papers
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…
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…
Comparative analysis of two new wind speed T-X models using Weibull and log-logistic distributions for wind energy potential estimation in Tabriz, Iran
Meysam Mohammadpour, Hossein Bevrani
To assess the potential of wind energy in a specific area, statistical distribution functions are commonly used to characterize wind speed distributions. The selection of an approp…
Bayesian Analysis of the Beta Regression Model Subject to Linear Inequality Restrictions with Application
Solmaz Seifollahi, Hossein Bevrani, Kristofer Mansson
ReRecent studies in machine learning are based on models in which parameters or state variables are bounded restricted. These restrictions are from prior information to ensure the…
Shrinkage Estimation and Prediction for Joint Type-II Censored Data from Two Burr-XII Populations
Soheila Akbari Bargoshadi, Hossein Bevrani
The main objective of this paper is to apply linear and pretest shrinkage estimation techniques to estimating the parameters of two 2-parameter Burr-XII distributions. Further more…
Improved estimators in Bell regression model with application
Solmaz Seifollahi, Hossein Bevrani, Zakariya Yahya Algamal
In this paper, we propose the application of shrinkage strategies to estimate coefficients in the Bell regression models when prior information about the coefficients is available.…