A Modification of the Gompertz Distribution Based on the Class of Extended-Weibull Distributions

Autor: Mohammad Reza Kazemi, Ali Akbar Jafari, Saeid Tahmasebi
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Statistical Theory and Applications (JSTA), Vol 19, Iss 4 (2020)
Druh dokumentu: article
ISSN: 2214-1766
DOI: 10.2991/jsta.d.201116.001
Popis: This paper introduces a new four-parameter extension of the generalized Gompertz distributions. This distribution involves some well-known distributions such as extension of generalized exponential, generalized exponential, and generalized Gompertz distributions. In addition, it can have a decreasing, increasing, upside-down bathtub, and bathtub-shaped hazard rate function depending on its parameters. Some mathematical properties of this new distribution, such as moments, quantiles, hazard rate function, and reversible hazard rate function are obtained. In addition, the density function and the moments of the ordered statistics of this new distribution is provided. The parameters of model are estimated using the maximum likelihood method. Also, a real data set was used to illustrate the validity of the proposed distribution.
Databáze: Directory of Open Access Journals