“…Through this taxonomy, it is possible to identify variations, applications, and methods that can be used to obtain its parameters. The best-known methods for parameter estimation are percentiles, maximum likelihood, moments, and regression (BERGER; LAWRENCE, 1974;CAO, 2004;HUDAK;TIRYAKIOGLU, 2009), with percentiles generally being the simplest parameter used that does not result in a loss of efficiency; however, these different deductions methods calculate location, scale, and shape parameters, and some require iterations between the formulas (BAILEY; DELL, 1973;CAO, 2004;MIGUEL et al, 2010;WENDLING;EMERENCIANO;HOSOKAWA, 2011;ORELLANA et al, 2017). Modern techniques, such as the metaheuristic genetic algorithm and simulated annealing, were compared to the percentile and moment methods and performed better (ARAÚJO et al, 2021), but these newer techniques are still minimally explored in the literature compared to the classical methods.…”