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The adjusted empirical Lorenz curve using a cubic spline interpolation formula

The adjusted empirical Lorenz curve using a cubic spline interpolation formula
The adjusted empirical Lorenz curve using a cubic spline interpolation formula
A Cubic spline interpolation formula is proposed to estimate the quantile function found in the functional form of the Adjusted Lorenz curve proposed by Al-Hussainan (2000) to estimate its theoretical counterpart. This procedure makes, yet, another option of quantile estimation available to the use of the adjusted Lorenz curve
1311-1728
109-120
Al-Hussainan, Adel
c7941ede-710f-4c42-bfb7-06301ab2957e
Al-Eideh, Basel
46a54f67-cd83-409f-b6e4-16ab5b86f0f2
Yousef, Ali
ea65d920-d55d-42f3-b0b6-35f265c39c84
Al-Hussainan, Adel
c7941ede-710f-4c42-bfb7-06301ab2957e
Al-Eideh, Basel
46a54f67-cd83-409f-b6e4-16ab5b86f0f2
Yousef, Ali
ea65d920-d55d-42f3-b0b6-35f265c39c84

Al-Hussainan, Adel, Al-Eideh, Basel and Yousef, Ali (2002) The adjusted empirical Lorenz curve using a cubic spline interpolation formula. International Journal of Applied Mathematics, 8 (1), 109-120.

Record type: Article

Abstract

A Cubic spline interpolation formula is proposed to estimate the quantile function found in the functional form of the Adjusted Lorenz curve proposed by Al-Hussainan (2000) to estimate its theoretical counterpart. This procedure makes, yet, another option of quantile estimation available to the use of the adjusted Lorenz curve

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Published date: 2002
Organisations: Statistics

Identifiers

Local EPrints ID: 69170
URI: http://eprints.soton.ac.uk/id/eprint/69170
ISSN: 1311-1728
PURE UUID: 67304644-5da2-4c44-92bb-d56912bbe8b6

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Date deposited: 23 Oct 2009
Last modified: 11 Sep 2020 16:37

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