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?:abstract
  • The modeling of income data has originated a century ago with the work of Vilfredo Pareto. Since then several authors have added immense literature about income distributions and income inequality measures. In the present paper, we have pointed out some recent works in income distributions and income inequality measures. Recently the potential of the quantile function has been discussed in parallel with the distribution function for modeling reliability and income data. So we have also included some quantile functions existing in the literature and their potentiality to model income data in the review. We derived the Lorenz curve, Gini index, Pietra index, Bonferroni index, Bonferroni curve, and Zenga curve for six distributions and checked the model adequacy of three distributions using real income data. (xsd:string)
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  • (SILC) (xsd:string)
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  • EU-SILC-Bibliography (xsd:string)
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  • 2023 (xsd:gyear)
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  • 2023 (xsd:gyear)
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  • 50 (xsd:string)
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  • english (xsd:string)
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  • 2 (xsd:string)
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  • A review on Quantile functions, Income distributions, and Income inequality measures (xsd:string)
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  • article (xsd:string)
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  • Bibsonomy (xsd:string)
  • In RT&A, 73(2), 50-62, 2023 (xsd:string)
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  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
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  • 2023 (xsd:string)
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  • 62 (xsd:string)
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  • 73 (xsd:string)