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)
H. Abu-Zinadah, Hanaa and S. Al-Oufi, Anhar
"Different Method Estimations of the Three Parameters of Exponentiated Gompertz Distribution,"
Applied Mathematics & Information Sciences: Vol. 10
, Article 30.
Available at: https://dc.naturalspublishing.com/amis/vol10/iss2/30