A Family of Generalized Beta Distributions for Income
Methodology
2007-10-26 v1
Abstract
The mathematical properties of a family of generalized beta distribution, including beta-normal, skewed-t, log-F, beta-exponential, beta-Weibull distributions have recently been studied in several publications. This paper applies these distributions to the modeling of the size distribution of income and computes the maximum likelihood estimation estimates of parameters. Their performances are compared to the widely used generalized beta distributions of the first and second types in terms of measures of goodness of fit.
Keywords
Cite
@article{arxiv.0710.4614,
title = {A Family of Generalized Beta Distributions for Income},
author = {J. H. Sepanski and Lingji Kong},
journal= {arXiv preprint arXiv:0710.4614},
year = {2007}
}
Comments
Submitted to the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org)