Title
A general method for generating parametric Lorenz and Leimkuhler curves
Abstract
Let L0 consider an initial Lorenz curve. In this paper we propose a general methodology for obtaining new classes of parametric Lorenz or Leimkuhler curves that contain the original curve as limiting or special case. The new classes introduce additional parameters in the original family, providing more flexibility for the new families. The new classes are built from an ordered sequence of power Lorenz curves, assuming that the powers are distributed according to some convenient discrete random variable. Using this method we obtain many of the families proposed in the literature, including the classical proposal of Bradford, 1934, Kakwani and Podder, 1973 and others. We obtain some inequality measures and population functions for the proposed families.
Year
DOI
Venue
2010
10.1016/j.joi.2010.06.002
Journal of Informetrics
Keywords
Field
DocType
Productivity,Cumulative distribution function,Probability generating function,Gini index
Generating function,Population,Applied mathematics,Data mining,Random variable,Lorenz curve,Cumulative distribution function,Parametric statistics,Calculus,Mathematics,Limiting,Special case
Journal
Volume
Issue
ISSN
4
4
1751-1577
Citations 
PageRank 
References 
4
0.55
18
Authors
4
Name
Order
Citations
PageRank
José María Sarabia1367.61
Emilio Gómez-Déniz243.59
María Sarabia3112.43
Faustino Prieto4102.08