Revision as of 13:33, 15 May 2023 edit Lithopsian (talk \| contribs) Autopatrolled, Extended confirmed users, New page reviewers 79,342 edits rephrase the lead sentence to be singular, matching the article title, and drop the caps since I don't think this is named after Dr. Quantile ← Previous edit		Revision as of 13:34, 15 May 2023 edit undo Lithopsian (talk \| contribs) Autopatrolled, Extended confirmed users, New page reviewers 79,342 edits rephrase the second sentence since "they" is ambiguous and appears grammatically to refer to the inventors rather than the QPDs themselves Next edit →
Line 1: A '''quantile-parameterized distribution (QPD)''' is a probability distributions that is directly parameterized by data. They were ~~motivated~~created byto meet 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, economics, 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. == History ==

Quantile-parameterized distribution: Difference between revisions