“…The techniques for modifying the classical distributions are usually referred to as generators in literature and are capable of improving the goodness-of-fit of the modified distributions. Some well-known generators are Marshal-Olkin generated family (MO-G) by Marshal and Olkin [1], the Beta-G by Eugene et al [2] and Jones [3], Generalized Beta-generated distributions by Alexander et al [4], Gamma-G (type 1) by Zografos and Balakrishanan [5], Gamma-G (type 2) by Ristic and Balakrishanan [6], Log-gamma-G by Amini et al [7], Exponentiated generalized-G by Cordeiro et al [8], Transformed-Transformer (T-X) by Alzaatreh et al [9], exponentiated (T-X) by Alzaghal et al [10], Weibull-G by Bourguignon et al [11], Exponentiated half logistic generated family by Cordeiro et al [12], Lomax-G by Cordeiro et al [13], Kumaraswamy Odd log-logistic-G by Alizadeh et al [14], Kumaraswamy Marshall-Olkin by Alizadeh et al [15], Beta Marshall-Olkin by Alizadeh et al [16], Kummer-beta generalized distributions by Pescimet al [17], A new family of Marshall-Olkin extended distributions by Alshangiti et al [18], A new family of distributions: Libby-Novick beta by Cordeiro et al [19], Type 1 Half-Logistic family of distributions by Cordeiro et al [20], The generalized transmuted-G family by Nofal et al [21], Generalized transmuted family by Alizadeh et al [22], Another generalized transmuted family by Merovci et al [23], Transmuted exponentiated generalized-G family by Yousof et al [24], Transmuted geometric G family by Afify et al [25], Beta transmuted-H family by Afify et al [26], Kumaraswamy transmuted-G family by Afify et al [27], Topp-Leone Family of Distributions by Al-Shomrani et al [28], The transmuted transmuted-G family by Mansour et al [29], The Exponentiated Kumaraswamy-G Class by Silva et al [30], The extended Weibull-G family of distributions by Korkmaz…”