Two more ways of spelling Gini Coefficient with Applications
Statistics Theory
2022-10-13 v2 Probability
Methodology
Statistics Theory
Abstract
In this paper, we draw attention to a promising yet slightly underestimated measure of variability - the Gini coefficient. We describe two new ways of defining and interpreting this parameter. Using our new representations, we compute the Gini index for a few probability distributions and describe it in more detail for the negative binomial distribution. We also suggest the latter as a tool to measure overdispersion in epidemiology.
Cite
@article{arxiv.2201.12298,
title = {Two more ways of spelling Gini Coefficient with Applications},
author = {Marta Milewska and Remco van der Hofstad and Bert Zwart},
journal= {arXiv preprint arXiv:2201.12298},
year = {2022}
}