Gini index, which is derived from the Lorenz curve of income inequality and shows income inequality in different populations, can be applied to ranking and selectionpopulations. Many procedures are available for ordering and ranking income distributions where the ordering is not linear. However, the researchers often are not interested in ordering the populations but selecting the best (or worst) of available populations indicating a lower (or higher) level of disparities in incomes within the population. Madhuri S. Mulekar (2005) discussed the estimation of overlap ofincome distributions and selection in terms of Gini Measure of income inequality. In this paper, we simulate populations ranking and selection based on Gini index of income inequality for case that the variances are equal but known in income distributions and for case that the variances are unequal but known in income distributions.

Periodical:

Bulletin of Mathematical Sciences and Applications (Volume 3)

Pages:

1-14

DOI:

10.18052/www.scipress.com/BMSA.3.1

Citation:

S. B. Kohne Rooz et al., "Ranking and Selection Procedure for Gini Index", Bulletin of Mathematical Sciences and Applications, Vol. 3, pp. 1-14, 2013

Online since:

Feb 2013

Keywords:

Distribution:

Open Access

This work is licensed under a

Creative Commons Attribution 4.0 International License

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