We propose a new generated family of distributions that is known as the generalized alpha-power transformation-G (GAPT-G) family of distributions. The new class of family can be more flexible since the density shapes are left skewed, symmetrical and reversed-J. Some special models derived and discussed. Several of its important properties are derived. The maximum likelihood equations are derived for GAPT-G family parameters. The importance and flexibility of the derived models is assessed using one real dataset.
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El-Sherpieny et al. (2021) studied this question.
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