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Gintropy: Gini Index Based Generalization of Entropy [PDF]

open access: yesEntropy, 2020
Entropy is being used in physics, mathematics, informatics and in related areas to describe equilibration, dissipation, maximal probability states and optimal compression of information.
Tamás S. Biró, Zoltán Néda
doaj   +6 more sources

Fluctuations in time intervals of financial data from the view point of the Gini index [PDF]

open access: green, 2006
We propose an approach to explain fluctuations in time intervals of financial markets data from the view point of the Gini index. We show the explicit form of the Gini index for a Weibull distribution which is a good candidate to describe the first ...
Bouchaud   +13 more
core   +4 more sources

Estimation of Gini Index within Pre-Specified Error Bound [PDF]

open access: yesEconometrics, 2016
Gini index is a widely used measure of economic inequality. This article develops a theory and methodology for constructing a confidence interval for Gini index with a specified confidence coefficient and a specified width without assuming any specific ...
Bhargab Chattopadhyay   +1 more
doaj   +4 more sources

A data science based standardized Gini index as a Lorenz dominance preserving measure of the inequality of distributions. [PDF]

open access: yesPLoS ONE, 2017
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.
Alfred Ultsch, Jörn Lötsch
doaj   +2 more sources

The global immune-nutrition-inflammation index predicts pathological response and survival in esophageal squamous cell carcinoma treated with neoadjuvant immunochemotherapy [PDF]

open access: yesFrontiers in Nutrition
ObjectiveThe global immune-nutrition-inflammation index (GINI) is a new composite indicator that assesses nutrition and inflammation and has been linked to prognosis in various cancers.
Zhouxv Feng   +9 more
doaj   +2 more sources

Some Notes on the Gini Index and New Inequality Measures: The nth Gini Index

open access: yesStats
A new family of inequality indices based on the deviation between the expected maximum and the expected minimum of random samples, called the nth Gini index is presented. These indices generalize the Gini index.
José Manuel Gavilan-Ruiz   +3 more
doaj   +3 more sources

Trade-Off Between Entropy and Gini Index in Income Distribution [PDF]

open access: yesEntropy
We investigate the fundamental trade-off between entropy and the Gini index within income distributions, employing a stochastic framework to expose deficiencies in conventional inequality metrics.
Demetris Koutsoyiannis   +1 more
doaj   +2 more sources

Extended Gini index

open access: yesSSRN Electronic Journal, 2021
We propose an extended version of Gini index defined on the set of infinite utility streams, $X=Y^\mathbb{N}$ where $Y\subset \mathbb{R}$. For $Y$ containing at most finitely many elements, the index satisfies the generalized Pigou-Dalton transfer principles in addition to the anonymity axiom.
Dubey R. S., Laguzzi G.
openaire   +2 more sources

Measuring income inequalities beyond Gini index

open access: green, 2018
Growing interest in the analysis of interrelationships between income distribution and economic growth has recently stimulated new theoretical as well as empirical research. Since existing theoretical models propose inequality is detrimental to growth, while others point at income inequality as an essential determinant supporting economic growth ...
Nežinský, Eduard   +1 more
openaire   +2 more sources

Random Survival Forests to Predict Disease Control for Hepatocellular Carcinoma Treated With Transarterial Chemoembolization Combined With Sorafenib

open access: yesFrontiers in Molecular Biosciences, 2021
Objectives: To use baseline variables to predict one-year disease control for patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE) combined with sorafenib as initial treatment by applying a machine learning ...
Bin-Yan Zhong   +9 more
doaj   +1 more source

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