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Semi-Parametric Estimation of Lorenz Curve and Gini-index in an Exponential Distribution

Authors:

P.P. Chandrasekhara Pillai ,

Department of Statistics, DB Pampa College, Parumala, IN
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G. Rajesh,

Department of Statistics, DB Pampa College, Parumala, IN
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E.I. Abdul-Sathar

Department of Statistics, University of Kerala,Thiruvananthapuram, IN
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Abstract

In this article, we estimate Lorenz curve and Gini-index for exponential distribution using the semi-parametric method. We derived the estimates using least square method based on the survival function. The estimation is also carried out under various censoring schemes. The performances of the estimators in terms of MSE are compared via a Monte Carlo simulation study.

DOI: http://dx.doi.org/10.4038/sljastats.v15i1.6749

How to Cite: Pillai, P.P.C., Rajesh, G. & Abdul-Sathar, E.I., (2014). Semi-Parametric Estimation of Lorenz Curve and Gini-index in an Exponential Distribution. Sri Lankan Journal of Applied Statistics. 15(1), pp.19–30. DOI: http://doi.org/10.4038/sljastats.v15i1.6749
Published on 30 Mar 2014.
Peer Reviewed

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