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International Journal of Research and Innovation in Applied Science (IJRIAS)

Gamma-Exponential-Exponential Distribution (Geed): Theories and Properties

byOlayinka K. P; Ogunwale O.D; Odukoya E.A; Ajewole K. P; Akinyele T. W

Published March 21, 2026  •  Vol. 11, Issue 2, pp. 1638–1647Open Access
DOI: 10.51584/IJRIAS.2026.110200152

Abstract

The paper proposes a new family of continuous distributions called the Gamma-Exponential-Exponential distribution (GEED). It is based on the T X construction of Alzaatreh et al. (2013) by considering Gamma-Exponential distribution for T and the exponential as the distribution of X. Some of useful mathematical and statistical properties such as the moment method, moment generating function, characteristics function skewness and kurtosis, are derived, and a number of important statistical characteristics of this family are investigated the method of maximum likelihood estimation is used to estimate the model parameters. The usefulness of this family of distributions is demonstrated via simulated experiments aiming to assess their performances

Keywords: Gamma-Exponential-Exponential, Gamma-Exponential, Moment, Maximum Likelihood Estimator

JournalInternational Journal of Research and Innovation in Applied Science (IJRIAS)
ISSN2454-6194
Volume / IssueVolume 11, Issue 2
Pages1638–1647
Publication dateMarch 21, 2026
DOI10.51584/IJRIAS.2026.110200152
PublisherRSIS International
LicenseOpen Access

How to cite this article

Olayinka K. P, Ogunwale O.D, Odukoya E.A, Ajewole K. P, & Akinyele T. W (2026). Gamma-Exponential-Exponential Distribution (Geed): Theories and Properties. International Journal of Research and Innovation in Applied Science (IJRIAS), 11(2), 1638-1647. https://doi.org/10.51584/IJRIAS.2026.110200152

BibTeX

@article{Olayinka2026,
  title   = {Gamma-Exponential-Exponential Distribution (Geed): Theories and Properties},
  author  = {Olayinka K. P and Ogunwale O.D and Odukoya E.A and Ajewole K. P and Akinyele T. W},
  journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
  volume  = {11},
  number  = {2},
  pages   = {1638--1647},
  year    = {2026},
  doi     = {10.51584/IJRIAS.2026.110200152},
  publisher = {RSIS International}
}