Measuring inequality and social welfare from any arbitrary distribution
type: Item
instance of: scholarly article
title: Measuring inequality and social welfare from any arbitrary distribution
zbMATH Open document ID: 1298.91120
DOI: 10.1214/08-BJPS022
author: V. T. Beena
author: M. Kumaran
published in: Brazilian Journal of Probability and Statistics
publication date: 2014-11-05T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.bjps/1262271217
Mathematics Subject Classification ID: 91B82
Mathematics Subject Classification ID: 62P20
zbMATH DE Number: 6366003
MaRDI profile type: Publication
cites work: Lorenz ordering of exponential order statistics
cites work: Q5446669
cites work: A General Definition of the Lorenz Curve
cites work: Large Sample Theory of Some Measures of Income Inequality
cites work: Low Moments for Small Samples: A Comparative Study of Order Statistics
cites work: Applications of Lorenz Curves in Economic Analysis
cites work: On a Class of Poverty Measures
cites work: Fitting statistical distributions. The generalized lambda distribution and generalized bootstrap methods
cites work: On the Lorenz order within parametric families of income distributions
cites work: Theory & Methods: A Starship Estimation Method for the Generalized λ Distributions
cites work: Q4012945
cites work: An approximate method for generating symmetric random variables
cites work: An approximate method for generating asymmetric random variables
cites work: A Probability Distribution and Its Uses in Fitting Data
description: scientific article; zbMATH DE number 6366003