Two more ways of spelling Gini Coefficient with Applications

Milewska, Marta; van der Hofstad, Remco; Zwart, Bert

doi:10.48550/arXiv.2201.12298

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.

Additional Metadata
Keywords	Statistics Theory, Probability, Methodology
Persistent URL	doi.org/10.48550/arXiv.2201.12298
Project	Networks , Marie Skłodowska-Curie
Grant	This work was funded by the The Netherlands Organisation for Scientific Research (NWO); grant id nwo/024.002.003 - Networks
Organisation	Stochastics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Milewska, M., van der Hofstad, R., & Zwart, B. (2022). Two more ways of spelling Gini Coefficient with Applications. doi:10.48550/arXiv.2201.12298

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