Main Article Content
Lifetime processes has received several attentions recently through modeling the way and manner in which they are distributed. In this article, we propose an extended new generalized exponential distribution for a lifetime processes. The statistical properties of distribution such as kurtosis, survival, hazard, cumulative, odd functions, quantiles, skewness, reversed hazard, and order statistics are derived. The parameters of this class of distribution were also obtained by maximum likelihood method. The behaviour of the model was studied through simulation. Finally, a real life data was used to examine the performance of the propose model. The results show that the model perform favourably well with existing continuous models.