Different Method Estimations of the Three Parameters of Exponentiated Gompertz Distribution

Authors

Hanaa H. Abu-Zinadah, Department of Statistics, Faculty of Science- AL Faisaliah Campus, King Abdulaziz University, P.O. Box 32691, Jeddah 21438, Saudi ArabiaFollow
Anhar S. Al-Oufi, Department of Statistics, Sciences Faculty, King Abdulaziz University, Jeddah, Saudi ArabiaFollow

Author Country (or Countries)

Saudi Arabia

Abstract

This article discusses the maximum likelihood, least squares, weighted least squares, and percentiles estimates of three parameters of an exponentiated Gompertz distribution based on complete sample. By using the mean square error through Monte Carlo simulation, this study compares the performances of estimates. Real data set is used as an example of the methods of estimations for the three parameters of exponentiated Gompertz distribution.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/100230

Recommended Citation

H. Abu-Zinadah, Hanaa and S. Al-Oufi, Anhar (2016) "Different Method Estimations of the Three Parameters of Exponentiated Gompertz Distribution," Applied Mathematics & Information Sciences: Vol. 10: Iss. 2, Article 30.
DOI: http://dx.doi.org/10.18576/amis/100230
Available at: https://digitalcommons.aaru.edu.jo/amis/vol10/iss2/30