The Marshall and Olkin-G and Gamma-G family of distributions: properties and applications

Maria do Carmo S. Lima; Gauss M. Cordeiro; Pedro Rafael D. Marinho

doi:10.57805/revstat.v22i3.504

The Marshall and Olkin-G and Gamma-G family of distributions: properties and applications

Authors

Maria do Carmo S. Lima Federal University of Pernambuco https://orcid.org/0000-0002-5480-3103
Gauss M. Cordeiro Federal University of Pernambuco https://orcid.org/0000-0002-3052-6551
Pedro Rafael D. Marinho Federal University of Paraíba https://orcid.org/0000-0003-1591-8300

DOI:

https://doi.org/10.57805/revstat.v22i3.504

Keywords:

applications, distribution family, mathematical properties, simulations

Abstract

The article introduces a new family by combining the Marshall and Olkin-G and Gamma-G classes. It has only two extra shape parameters and can be a better model than other existing classes of distributions. Simulations are performed to verify the consistency of the estimators. Its flexibility is shown by means of two real data sets.

Downloads

REVSTAT2024vol22n3_2

Published

2024-09-20

How to Cite

S. Lima, M. do C., M. Cordeiro, G., & D. Marinho , P. R. (2024). The Marshall and Olkin-G and Gamma-G family of distributions: properties and applications. REVSTAT-Statistical Journal, 22(3), 293–308. https://doi.org/10.57805/revstat.v22i3.504