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A measure of asymmetry

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Abstract

It is a general practice to make assertions about the symmetry or asymmetry of a probability density function based on the coefficients of skewness. Since most of the coefficients of skewness are designed to be zero for a symmetric density, they overall do provide an indication of symmetry. However, skewness is primarily influenced by the tail behavior of a density function, and the skewness coefficients are designed to capture this behavior. Thus they do not calibrate asymmetry in the density curves. We provide a necessary condition for a probability density function to be symmetric and use that to measure asymmetry in a continuous density curve on the scale of −1 to 1. We show through examples that the proposed measure does an admirable job of capturing the visual impression of asymmetry of a continuous density function.

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References

  • Arias-Nicolás JP, Martín J, Suárez-Llorens A (2009) L p loss functions: a robust bayesian approach. Stat Papers 50: 501–509

    Article  MATH  Google Scholar 

  • Boos DD (1982) A test for asymmetry associated with the Hodges-Lehmann estimator. J Am Stat Assoc 77: 647–649

    Article  MathSciNet  MATH  Google Scholar 

  • Boshnakov GN (2007) Some measures for asymmetry of distributions. Stat Prob Lett 77: 1111–1116

    Article  MathSciNet  MATH  Google Scholar 

  • Butler CC (1969) A test for symmetry using the sample distribution function. Ann Math Stat 40: 2209–2210

    Article  MATH  Google Scholar 

  • Critchley F, Jones MC (2008) Asymmetry and gradient asymmetry functions: density-based skewness and kurtosis. Scand J Stat 35: 415–437

    Article  MathSciNet  MATH  Google Scholar 

  • Doksum KA (1975) Measures of location and asymmetry. Scand J Stat 1: 11–22

    MathSciNet  Google Scholar 

  • Ekström M, Jammalamadaka SR (2007) An asymptotically distribution-free test of symmetry. J Stat Plan Inference 137: 799–810

    Article  MATH  Google Scholar 

  • Giné E, Mason D (2008) Uniform in Bandwidth Estimation of Integral Functionals of the Density Function. Scand J Stat 35: 739–761

    Article  MATH  Google Scholar 

  • Jones MC (1993) Simple boundary correction for kernel density estimation. Stat Comput 3: 135–146

    Article  Google Scholar 

  • Li X, Morris JM (1991) On measuring asymmetry and the reliability of the skewness measure. Stat Prob Lett 12: 267–271

    Article  MathSciNet  Google Scholar 

  • MacGillivray HL (1986) Skewness and asymmetry: measures and orderings. Annals Stat 14: 994–1011

    Article  MathSciNet  MATH  Google Scholar 

  • Rothman ED, Woodroofe M (1972) A Cramé-von Mises type statistic for testing symmetry. Ann Math Stat 43: 2035–2038

    Article  MathSciNet  MATH  Google Scholar 

  • Siburg KF, Stoimenov PA (2008) Symmetry of functions and exchangeability of random variables. Stat Papers. doi:10.1007/s00362-008-0195-3

  • Ye P, Bhattacharya B (2009) Tests of symmetry with one-sided alternatives in three-way contingency tables. Stat Papers. doi:10.1007/s00362-009-0198-8

  • van Zwet WR (1964) Convex transformations of random variables. Math Centrum, Amsterdam

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Correspondence to D. Bagkavos.

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Patil, P.N., Patil, P.P. & Bagkavos, D. A measure of asymmetry. Stat Papers 53, 971–985 (2012). https://doi.org/10.1007/s00362-011-0401-6

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  • DOI: https://doi.org/10.1007/s00362-011-0401-6

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