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Inequality Measures

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Majorization and the Lorenz Order with Applications in Applied Mathematics and Economics

Part of the book series: Statistics for Social and Behavioral Sciences ((SSBS))

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Abstract

In this chapter we discuss inequality measures, emphasizing their relationships with the Lorenz curve . Many of the early writers and some other more recent papers about inequality do not clearly distinguish between sample and population statistics. A “distribution” for them might refer to some genuine random variable or to the sample distribution of a finite number of observations from some population.

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Authors and Affiliations

  1. Department of Statistics, University of California, Riverside, CA, USA

    Barry C. Arnold

  2. Department of Economics, University of Cantabria, Santander, Spain

    José María Sarabia

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  1. Barry C. Arnold
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  2. José María Sarabia
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Arnold, B.C., Sarabia, J.M. (2018). Inequality Measures. In: Majorization and the Lorenz Order with Applications in Applied Mathematics and Economics. Statistics for Social and Behavioral Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-93773-1_5

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