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Multivariate Lorenz Dominance Based On Zonoids

机译:基于Zonoids的多元Lorenz优势

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The classical Lorenz curve visualizes and measures the disparity of items which are characterized by a single variable: The more the curve bends, the more scatter the data. Recently a general approach has been proposed and investigated that measures the disparity of multidimensioned items regardless of their dimension.rnThis paper surveys various generalizations of Lorenz curve and Lorenz dominance for multidimensional data. Firstly, the Lorenz zonoid of multivariate data and, more general, of a random vector is introduced. Then three multivariate extensions of univariate Lorenz dominance are surveyed and contrasted, the set inclusion of lift zonoids, the scaled convex order, and the price Lorenz order. The latter is based on the set inclusion of extended Lorenz zonoids. Finally, a decomposition of the multivariate volume-Gini mean difference is given.
机译:经典的Lorenz曲线可视化并测量以单个变量为特征的项目的差异:曲线弯曲的次数越多,数据的分散性就越大。最近,提出了一种通用方法,并研究了测量多维项目的差异而与维度无关的方法。本文研究了多维数据的Lorenz曲线和Lorenz优势的各种概括。首先,介绍了多变量数据的Lorenz zonoid,以及更一般的随机矢量的Lorenz zonoid。然后调查并对比了单变量Lorenz优势的三个多元扩展,提升带的类集,缩放的凸阶和价格Lorenz阶的集合。后者基于扩展的Lorenz zonoids的集合包含。最后,给出了多元体积-基尼平均差的分解。

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