“…New families of distributions are produced day by day and are useful for adding parameters to all forms of probability distributions which makes the resulting distribution more flexible for modeling heavily skewed dataset. Some of these families of distributions include the beta generated family (Beta-G) [7], Transmuted family of distributions [8], Gamma-G (type 1) [9], the Kumaraswamy-G family [10], McDonald-G family [11], Gamma-G (type 2) family [12], Gamma-G (type 3) family [13], Log-gamma-G family [14], Exponentiated T-X family [15], Exponentiated-G (EG) family [16], Weibull-X family [17], Weibull-G family [18], Logistic-G family [19], Gamma-X family [20], a Lomax-G family [21], a new generalized Weibull-G family [22], a Beta Marshall-Olkin family of distributions [23], Logistic-X family [24], a new Weibull-G family [25], a Lindley-G family [26], a Gompertz-G family [27] and Odd Lindley-G family [28] and so on.…”