Two more ways of spelling Gini Coefficient with Applications

01/28/2022
by   Marta Milewska, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/11/2018

Maximally Consistent Sampling and the Jaccard Index of Probability Distributions

We introduce simple, efficient algorithms for computing a MinHash of a p...
research
07/21/2011

NK landscapes difficulty and Negative Slope Coefficient: How Sampling Influences the Results

Negative Slope Coefficient is an indicator of problem hardness that has ...
research
10/26/2021

A new inequality measurement tool: The Vinci index

This paper presents a new inequality measurement tool that gives more we...
research
08/18/2019

A New Approach to Determine the Coefficient of Skewness and An Alternative Form of Boxplot

To solve the problems in measuring coefficient of skewness related to ex...
research
11/12/2021

Histograms lie about distribution shapes and Pearson's coefficient of variation lies about variability

Background and Objective: Histograms and Pearson's coefficient of variat...
research
06/09/2021

Relative Clustering Coefficient

In this paper, we relatively extend the definition of global clustering ...
research
08/26/2013

The Generalized Mean Information Coefficient

Reshef & Reshef recently published a paper in which they present a metho...

Please sign up or login with your details

Forgot password? Click here to reset