'''Quantile-parameterized distributions''' (QPDs)''' are probability distributions that are directly parameterized by data. They were motivated by the need for easy-to-use continuous probability distributions flexible enough to represent a wide range of uncertainties, such as those commonly encountered in business, engineering, and science. Because QPDs are directly parameterized by data, they have the practical advantage of avoiding the intermediate step of [[Estimation theory|parameter estimation]], a time-consuming process that typically requires non-linear iterative methods to estimate probability-distribution parameters from data. Some QPDs have virtually unlimited shape flexibility and closed-form moments as well.
