A new two parameter gamma-exponential mixture
Abstract
In this study, a new continuous distribution, which is a two-component finite mixture of exponential and gamma distribution, is suggested. Various properties of the proposed distribution, such as survival function, hazard rate function, moments, moment generating function, and characteristic function have been discussed. The maximum likelihood estimation is used for estimating the unknown parameters involved in this work. Finally, the proposed distribution is fitted to real-life data to illustrate its application, and a comparison against some existing distributions are drawn.
Copyright © 2020 Saurav Sarma, Inzamul Ahmed, Anjana Begum. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article
S. Sarma, I. Ahmed, A. Begum, A new two parameter gamma-exponential mixture, J. Math. Comput. Sci. 11 (2021), 414–426. https://doi.org/10.28919/jmcs/5146
BibTeX
@article{Sarma2021,
author = {Sarma, Saurav and Ahmed, Inzamul and Begum, Anjana},
title = {A new two parameter gamma-exponential mixture},
journal = {J. Math. Comput. Sci.},
volume = {11},
year = {2021},
pages = {414--426},
doi = {10.28919/jmcs/5146}
}