Author:
Mirzaei Shahryar,Mohtashami Borzadaran Gholam Reza,Amini Mohammad
Abstract
In this paper, we consider two well-known methods for analysis of the Gini index, which are U-statistics and linearization for some incomedistributions. In addition, we evaluate two different methods for some properties of their proposed estimators. Also, we compare two methods with resampling techniques in approximating some properties of the Gini index. A simulation study shows that the linearization method performs 'well' compared to the Gini estimator based on U-statistics. A brief study on real data supports our findings.
Publisher
Universidad Nacional de Colombia
Subject
Statistics and Probability
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