Cargando…
A data science based standardized Gini index as a Lorenz dominance preserving measure of the inequality of distributions
The Gini index is a measure of the inequality of a distribution that can be derived from Lorenz curves. While commonly used in, e.g., economic research, it suffers from ambiguity via lack of Lorenz dominance preservation. Here, investigation of large sets of empirical distributions of incomes of the...
Autores principales: | Ultsch, Alfred, Lötsch, Jörn |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552103/ https://www.ncbi.nlm.nih.gov/pubmed/28796778 http://dx.doi.org/10.1371/journal.pone.0181572 |
Ejemplares similares
-
Estimation of the Gini coefficient for the lognormal distribution of income using the Lorenz curve
por: Darkwah, Kwasi A., et al.
Publicado: (2016) -
Erratum to: Estimation of the Gini coefficient for the lognormal distribution of income using the Lorenz curve
por: Darkwah, Kwasi A., et al.
Publicado: (2016) -
Optimal distribution-preserving downsampling of large biomedical data sets (opdisDownsampling)
por: Lötsch, Jörn, et al.
Publicado: (2021) -
Distribution of hospital beds in Tehran Province based on Gini coefficient and Lorenz curve from 2010 to 2012
por: Asl, Iravan Masoudi, et al.
Publicado: (2015) -
A non-parametric effect-size measure capturing changes in central tendency and data distribution shape
por: Lötsch, Jörn, et al.
Publicado: (2020)