Several methods have been applied to estimate
different distribution function parameters. Maximum
likelihood estimators, the method of expected
moments, and Bayesian methods have been shown
to be efficient and to provide a practical framework for
incorporating imprecise and categorical data with
great benefit in various analyses of flood frequency
analysis