Back to Search Start Over

Why Burr Distribution: Invariance-Based Explanation.

Authors :
Velasquez, Edgar Daniel Rodriguez
Thach, Nguyen Ngoc
Source :
International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems. 2023 Supplement, Vol. 31, p243-257. 15p.
Publication Year :
2023

Abstract

In many practical situations, we observe a special Burr probability distribution — e.g., Burr distribution describes the distribution of people by income, it describes the rainfall data, etc. In this paper, we provide a theoretical explanation for the ubiquity of Burr distributions: namely, we show that this distribution naturally follows from scale-invariance. To be more precise, the simplest distribution that can be obtained from scale invariance is the Pareto distribution — a frequent particular case of the general Burr family of distributions. Next simplest are all distributions from the Burr family. We also use the scale-invariance approach to come up with a more general class of distributions that will, hopefully, provide an even more accurate description of the corresponding phenomena. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02184885
Volume :
31
Database :
Academic Search Index
Journal :
International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems
Publication Type :
Academic Journal
Accession number :
175256839
Full Text :
https://doi.org/10.1142/S0218488523400147