In statistical distributions, a vast activity has been observed in generalizing classical distributions by adding more parameters to make them more flexible in analyzing empirical data. Various methods have been developed to achieve this purpose. Among such methods are the transformation technique, generator approach, mixture (compounding) and use of special functions. In this work we examine the Marshall-Olkin distribution. The term generalized used in this work has the notion of adding more parameters to the existing distribution in order to give a more universal distribution as opposed to the well-known existing generalized distributions.