Estimation of Gini-index from continuous distribution based on ranked set sampling


This paper introduces the idea of using the novel ranked set sampling scheme for estimating the Gini index from continuous distributions. A one dimensional integral estimation problem based on ranked samples was discussed. It is demonstrated by a simple Monte Carlo experiment that this approach provides an unbiased and more efficient Gini index estimators than the traditional estimators based on simple random sampling.

DOI Code: 10.1285/i20705948v1n1p33

Keywords: ranked set sampling; Lorenz curve; Gini index

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