“…On the contrary, in real life situations the hazard rate of many complex phenomena that are often encountered in practice is nonmonotone and cannot be modeled by the Gumbel type-2 distribution. To address this limitation [1] proposed the Exponentiated Gumbel type-2 distribution according to Nadarajah and Kotz [2] version of Gupta, et al [3], Okorie, et al [4] proposed the Kumaraswamy G Exponentiated Gumbel Type-2 Distribution which was obtained by combining Exponentiated Gumbel (EG) and the kumaraswamy distribution [5,6] proposed and studied the properties of Extended Gumbel type-2 ) distribution. Motivated by some of the properties of the generalised distribution with respect to the nature of its hazard function which includes; increasing, decreasing, non-monotone and bathtub shapes as well as the tractability and flexibility of the generalised distribution with improved statistical properties.…”