  Another new family of continuous probability distribution is proposed by
using Generalized Marshal-Olkin distribution as the base line distribution in
the Kumaraswamy-G distribution. This family includes (Cordeiro and de Castro,
2011) and (Jayakumar and Mathew, 2008) families special case besides a under of
other distributions. The probability density function (pdf) and the survival
function (sf) are expressed as series to observe as a mixture of the
Generalized Marshal-Olkin distribution. Series expansions pdf of order
statistics are also obtained. Moments, moment generating function, R\'enyi
entropies, quantile function, random sample generation and asymptotes are also
investigated. Parameter estimation by method of maximum likelihood and method
of moment are also presented. Finally the proposed model is compared to the
Generalized Marshall-Olkin Kumaraswamy extended family (Handique and
Chakraborty, 2015) by considering four examples of real life data modeling.
