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The p-folded cumulative distribution function and the mean absolute deviation from the p-quantile

机译:p折累积分布函数和与p分位数的平均绝对偏差

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摘要

The aims of this short note are two-fold. First, it shows that, for a random variable X, the area under the curve of its folded cumulative distribution function equals the mean absolute deviation (MAD) from the median. Such an equivalence implies that the MAD is the area between the cumulative distribution function (CDF) of X and that for a degenerate distribution which takes the median as the only value. Secondly, it generalises the folded CDF to a p-folded CDF, and derives the equivalence between the area under the curve of the p-folded CDF and the weighted mean absolute deviation from the p-quantile (MAD_p). In addition, such equivalences give the MAD and MAD_p simple graphical interpretations. Some other practical implications are also briefly discussed.
机译:本简短笔记的目的是双重的。首先,它表明,对于随机变量X,其折叠累积分布函数曲线下的面积等于与中位数的平均绝对偏差(MAD)。这样的等价关系意味着MAD是X的累积分布函数(CDF)与以中位数为唯一值的简并分布之间的面积。其次,它将折叠后的CDF推广为p折叠后的CDF,并得出p折叠后CDF曲线下的面积与加权平均绝对偏差(MAD_p)之间的等价关系。此外,此类等效项使MAD和MAD_p有了简单的图形解释。还简要讨论了其他一些实际含义。

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