arXiv:2406.02894 [math.ST]AbstractReferencesReviewsResources
The Bunching and Monotonicity Properties of Families of Probability Distributions
S. Portnoy, N. Torrado, J. J. P. Veerman
Published 2024-06-05Version 1
Measuring the concentration of random variables is a fundamental concept in probability and statistics. Here, we explore a type of concentration measure for continuous random variables with bounded support and use it to provide a notion of stochastic order by concentration. We give an application to the Beta family of distributions, and specifically to the one-parameter subfamily with constant mean. This leads to using U.S. household income data to fit generalized Beta distributions and offers a new measure of income concentration.
Comments: 19 pages, 4 figures
Related articles: Most relevant | Search more
arXiv:2011.00629 [math.ST] (Published 2020-11-01)
Distances between probability distributions of different dimensions
arXiv:2103.02922 [math.ST] (Published 2021-03-04)
Decision tree-based estimation of the overlap of two probability distributions
arXiv:2304.14885 [math.ST] (Published 2023-04-28)
On Closed-Form expressions for the Fisher-Rao Distance