محمود افشاری

Recently, new continuous distributions have been proposed to apply in statistical analysis in a way that each one solves a particular part of the classical distribution problems. In this paper, the Generalized Odd Gamma-G distribution is introduced . In particular, G has been considered as the Uniform distribution and some statistical properties such as quantile function, asymptotics, moments, entropy and order statistics have been calculated. We survey the theoretical outcomes with numerical computation by using $R$ software.The fitness capability of this model has been investigated by fitting this model and others based on real data sets. The maximum likelihood estimators are assessed with simulated real data from proposed model. We present the simulation in order to test validity of maximum likelihood estimators .