On the Exponentiated Weibull Rayleigh Distribution

Authors

Mohammed Elgarhy, University of Jeddah
Ibrahim Elbatal, Cairo University
Gholamhossein G. Hamedani, Marquette UniversityFollow
Amal Hassan, Cairo University

Document Type

Article

Publication Date

2019

Publisher

Gazi University

Source Publication

Gazi University Journal of Science

Source ISSN

1303-9709

Original Item ID

DOI: 10.35378/gujs.315832

Abstract

A new four-parameter probability model, referred to the exponentiated Weibull Rayleigh (EWR) distribution, is introduced. Essential statistical properties of the distribution are considered. The maximum likelihood estimators of population parameters are given in case of complete sample. Simulation study is carried out to estimate the model parameters of EWR distribution. Additionally, parameter estimators are given in case of Type II censored samples. We come up with two applications to confirm the usefulness of the proposed distribution.

Comments

Published version. Gazi University Journal of Science, Vol. 32, No. 3 (2019): 1060-1081. DOI. © 2019 Gazi University. Used with permission.

An ADA Accessible version will be provided upon request.

Recommended Citation

Elgarhy, Mohammed; Elbatal, Ibrahim; Hamedani, Gholamhossein G.; and Hassan, Amal, "On the Exponentiated Weibull Rayleigh Distribution" (2019). Mathematical and Statistical Science Faculty Research and Publications. 123.
https://epublications.marquette.edu/math_fac/123