In this paper, exponentiated Weibull-logistic distribution is introduced. The main functions of proposed distribution are derived and plotted for different parameter values. Besides, skewness and kurtosis measures of proposed distribution are presented. Then, by finding moment generating function, expected value and variance are derived. A simulation study is given for showing performance of exponentiated Weibull-logistic distribution by the maximum likelihood estimation approach. Finally, applications based on real datasets are presented and proved that, exponentiated Weibull-logistic distribution is better than existing distributions in literature.
Weibull-logistic distribution, Weibull-G family, Maximum likelihood estimation, Hazard function