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Lognormal Lorenz and normal receiver operating characteristic curves as mirror images

机译:对数正态Lorenz和正常接收器工作特性曲线为镜像

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摘要

The Lorenz curve for assessing economic inequality depicts the relation between two cumulative distribution functions (CDFs), one for the distribution of incomes or wealth and the other for their first-moment distribution. By contrast, the receiver operating characteristic (ROC) curve for evaluating diagnostic systems depicts the relation between the complements of two CDFs, one for the distribution noise and the other for the distribution of signal plus noise. We demonstrate that the lognormal model of the Lorenz curve, which is often adopted to model the distribution of income and wealth, is a mirror image of the equal-variance normal model of the ROC curve, which is a fundamental model for evaluating diagnostic systems. The relationship between these two models extends the potential application of each. For example, the lognormal Lorenz curve can be used to evaluate diagnostic systems derived from equal-variance normal distributions.
机译:用于评估经济不平等的洛伦兹曲线描述了两个累积分布函数(CDF)之间的关系,一个是收入或财富的分配,另一个是第一时间的分配。相比之下,用于评估诊断系统的接收机工作特性(ROC)曲线描述了两个CDF的补码之间的关系,一个用于分配噪声,另一个用于信号加噪声的分配。我们证明了经常用于对收入和财富分配建模的Lorenz曲线的对数正态模型是ROC曲线的等方差正态模型的镜像,这是评估诊断系统的基本模型。这两个模型之间的关系扩展了每个模型的潜在应用。例如,对数正态Lorenz曲线可用于评估从等方差正态分布得出的诊断系统。

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