Work

Gamma exponentiated generalized family of distributions with properties and applications

Year: 2025

Type: article

Abstract: This manuscript introduces the Gamma Exponentiated Generalized-G (GEG-G) family of distributions, developed by integrating the gamma distribution with the exponentiated generalized (EG) family. The resulting class offers enhanced flexibility and can accommodate a broad spectrum of distributional behaviors. Several special cases within the GEG-G family are presented to illustrate its versatility. Parameter estimation is carried out using maximum likelihood point estimation techniques, and the accuracy and efficiency of these estimators are evaluated through a comprehensive Monte Carlo simulation study. To demonstrate practical applicability, a specific member of the GEG-G family is applied to real-world lifetime count datasets.

Source: Scientific Reports

DOI: 10.1038/s41598-025-23470-5

Authors: Etaf Alshawarbeh, Boikanyo Makubate, Subhankar Dutta, Regent Retrospect Musekwa

Institutions: University of Ha'il, Botswana International University of Science and Technology, Maulana Azad National Institute of Technology, National University of Science and Technology

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,690

OpenAlex ID: W4416180637