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.· Boundary Value Problems· 0 citations
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.· Boundary Value Problems· 0 citations
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.· International Journal of Unc...· 0 citations
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