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

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  • Xue, Jing-Hao
  • Titterington, D. Michael

Abstract

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 (). In addition, such equivalences give the MAD and simple graphical interpretations. Some other practical implications are also briefly discussed.

Suggested Citation

  • Xue, Jing-Hao & Titterington, D. Michael, 2011. "The p-folded cumulative distribution function and the mean absolute deviation from the p-quantile," Statistics & Probability Letters, Elsevier, vol. 81(8), pages 1179-1182, August.
    • Handle: RePEc:eee:stapro:v:81:y:2011:i:8:p:1179-1182
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    References listed on IDEAS

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    1. Andrzej Ruszczynski & Robert J. Vanderbei, 2003. "Frontiers of Stochastically Nondominated Portfolios," Econometrica, Econometric Society, vol. 71(4), pages 1287-1297, July.
    2. Miller, Naomi & Ruszczynski, Andrzej, 2008. "Risk-adjusted probability measures in portfolio optimization with coherent measures of risk," European Journal of Operational Research, Elsevier, vol. 191(1), pages 193-206, November.
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    2. Marco Burkschat & Tomasz Rychlik, 2018. "Sharp inequalities for quantiles of system lifetime distributions from failure-dependent proportional hazard model," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 618-638, September.

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