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In general, the selection of the probability distribution with the best fit does not take into account the distributions’ complexity. The PBC (Parametric Bootstrap CrossFitting) method quantifies the bias due to the mimicry of the candidate distributions, taking into account the evaluation of the models’ complexity. Considering the importance of explaining the behavior of the monthly rainfall volumes and the possibility of using the PBC method to compare the fit of two competing distributions, the objective of this work is to discriminate and compare the mimicry of the Gamma and Nakagami distributions, by applying the PBC method to the monthly precipitation

APLICAÇÃO DO MÉTODO PBC PARA AVALIAÇÃO DA COMPLEXIDADE DAS DISTRIBUIÇÕES GAMA E NAKAGAMI NA ANÁLISE DE DADOS DE PRECIPITAÇÃO