The New Extended Exponential-Gamma (NEEG) Distribution: Properties and Applications to Infectious Disease Modelling
Loading...
Files
Date
2025-08-06
Journal Title
Journal ISSN
Volume Title
Publisher
African Journal Online
Abstract
This study introduces the New Extended Exponential-Gamma (NEEG)
distribution, a flexible lifetime model developed to address the limitations of
classical and generalized distributions in capturing real-world data complexity.
The statistical properties of the proposed distribution are thoroughly explored,
including its probability density function, cumulative distribution function, and
parameter estimation via the maximum likelihood method. The practical
effectiveness of the NEEG model is demonstrated using two real-life COVID-
19 datasets from Italy and Nigeria, where it is benchmarked against several
existing models such as the Gamma, Exponential, UYEG, and two variants of
the Generalized Lindley distribution. Model comparison was conducted using a
combination of information criteria (AIC, AICc, BIC, HQIC) and graphical tools
such as density plots overlaid on empirical histograms. The results consistently
show that the NEEG distribution provides the best fit across both datasets,
outperforming all competing models in terms of flexibility, goodness-of-fit, and
alignment with the empirical data. The model’s adaptability to skewed and
peaked data structures is particularly evident in pandemic-related scenarios,
where traditional models often fail. These findings position the NEEG
distribution as a powerful and versatile tool for statistical modelling in public
health, reliability analysis, and other domains requiring robust handling of nonnormal,
skewed, or heavy-tailed data. Future research may extend the model into
regression frameworks or multivariate contexts to enhance its applicability
further.
INTRODUCTION
One notable development in lifetime data modelling
Description
Keywords
Citation
Monishola Salau, G., Ishola Sanni, B., & Adewale Aderoju et al., S. (2025). The new extended exponential gamma (NEEG) distribution: properties and applications to infectious disease modelling. Journal of Basics and Applied Sciences Research, 3(4), 225–235. https://doi.org/10.4314/jobasr.v3i4.26