Beta generalized exponentiated frechet distribution with applications

4Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.

Abstract

In this article we introduce a new six - parameters model called the Beta Generalized Exponentiated-Frechet (BGEF) distribution which exhibits decreasing hazard rate. Many models such as Beta Frechet (BF), Beta ExponentiatedFrechet (BEF), Generalized Exponentiated-Frechet (GEF), ExponentiatedFrechet (EF), Frechet (F) are sub models. Some of its properties including rth moment, reliability and hazard rate are investigated. The method of maximum likelihood isproposed to estimate the model parameters. The observed Fisher's information matrix is given. Moreover, we give the advantage of the (BGEF) distribution by an application using two real datasets.

Cite

CITATION STYLE

APA

Badr, M. M. (2019). Beta generalized exponentiated frechet distribution with applications. Open Physics, 17(1), 687–697. https://doi.org/10.1515/phys-2019-0071

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free