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    A new flexible family of continuous distributions: the additive Odd-G family
    (MDPI AG, 2021) Altun, Emrah; Korkmaz, Mustafa Çağatay; El-Morshedy, Mahmoud; S. Eliwa, Mohamed
    This paper introduces a new family of distributions based on the additive model structure. Three submodels of the proposed family are studied in detail. Two simulation studies were performed to discuss the maximum likelihood estimators of the model parameters. The log location-scale regression model based on a new generalization of the Weibull distribution is introduced. Three datasets were used to show the importance of the proposed family. Based on the empirical results, we concluded that the proposed family is quite competitive compared to other models.