The Distance Standard Deviation

Dominic Edelmann, Donald Richards, Daniel Vogel

Research output: Working paper

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Abstract

The distance standard deviation, which arises in distance correlation analysis of multivariate data, is studied as a measure of spread. New representations for the distance standard deviation are obtained in terms of Gini's mean difference and in terms of the moments of spacings of order statistics. Inequalities for the distance variance are derived, proving that the distance standard deviation is bounded above by the classical standard deviation and by Gini's mean difference. Further, it is shown that the distance standard deviation satisfies the axiomatic properties of a measure of spread. Explicit closed-form expressions for the distance variance are obtained for a broad class of parametric distributions. The asymptotic distribution of the sample distance variance is derived.
Original languageEnglish
PublisherArXiv
Pages1-27
Number of pages27
Publication statusSubmitted - 16 May 2017

Keywords

  • characteristic function
  • distance correlation coefficient
  • distance variance
  • Gini’s mean difference
  • measure of spread
  • dispersive ordering
  • stochastic ordering
  • U-statistic
  • order statistic
  • sample spacing
  • asymptotic efficiency

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  • Cite this

    Edelmann, D., Richards, D., & Vogel, D. (2017). The Distance Standard Deviation. (pp. 1-27). ArXiv. https://arxiv.org/abs/1705.05777