PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

The p-folded cumulative distribution function and the mean absolute deviation from the p-quantile
Jinghao Xue and Mike Titterington
Statistics and Probability Letters 2010.

Abstract

The aims of this short note are twofold. First, it shows that, for a random variable X, the area under the curve of its folded cumulative distribution function (or the mountain plot) equals the mean absolute deviation from the median (MAD). Such an equivalence implies that the MAD is the area (or a measure of absolute difference) 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.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:7315
Deposited By:Mike Titterington
Deposited On:17 March 2011