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Author

A. Gemeay

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Open access Aug 2026

On a New Class of Power-Transformed Bimodal Exponential Distributions with Inferential Procedures and Applications

In this paper, we introduce a new three-parameter lifetime distribution that is obtained via a power transformation of the modified bimodal exponential model. The inclusion of an additional shape parameter significantly enhances the flexibility of the baseline distribution, allowing it to capture a wide range of distri...

I. Alkhairy, Jondeep Das, Laxmi Prasad Sapkota et al. · 0 citations
Open access Sep 2026

A novel inverse statistical distribution: theoretical development with applications to reliability and environmental data

Modeling real-world data is important in engineering, finance, environmental science, and medical science. Probability distributions are widely used to model such data. However, no single distribution can adequately fit all types of data, which creates a need for flexible distributions. In this study, a new extension...

O. Alqasem, A. Gemeay, S. Bashiru et al. · 0 citations
Open access Aug 2026

Efficient Parameter Estimation for the Inverse Power Moment Exponential Model under Ranked Set and Simple Random Sampling with Entropy Measures and Applications

It is challenging to model real-world data with complex features, such as skewness, heavy tails, and high variability, because each one demands a distinct probability density function. For these kinds of data, a variety of statistical models can be applied; the right data type should be chosen. When working with units...

H. Alsuhabi, I. Alkhairy, Meraou Mohammed Amine et al. · 0 citations
Open access Oct 2026

A new quantile regression model for bounded responses: mathematical derivation, estimation, and fitting bounded datasets

Bounded response variables, such as rates, proportions, and indices, frequently arise in the applied sciences and require regression models that respect the unit interval support, rather than relying on Gaussian regression. In this work, we propose a new regression model for continuous bounded data based on the unit...

O. Alqasem, A. Gemeay, D. Alnagar 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. 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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