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Abstract The use of probability distributions is essential for accurately modeling all types of datasets in numerous fields, such as economics, engineering, social sciences, health, and biological sciences. The parameterization of probability distributions enables more adaptable models that better reflect the properties of the underlying data. With the growing amount of available data for analysis, new probabilistic distributions are needed to better describe each phenomenon or experiment. |