Estimation of parameters for the Marshall-Olkin generalized exponential distribution based on complete data

This paper derives some properties of the Marshall-Olkin generalized exponential distribution and shows that this distribution is more flexible than the exponentiated exponential distribution. Then we discuss estimation of the distribution parameters by the methods of moments, maximum likelihood and some new methods based on minimum spacing distance. Furthermore, asymptotic confidence intervals of the estimators are presented. Finally, we give a method to simulate the proposed distribution.