Skip to main content
Log in

Depth-based runs tests for bivariate central symmetry

  • Published:
Annals of the Institute of Statistical Mathematics Aims and scope Submit manuscript

Abstract

McWilliams (J Am Stat Assoc 85:1130–1133, 1990) introduced a nonparametric procedure based on runs for the problem of testing univariate symmetry about the origin (equivalently, about an arbitrary specified center). His procedure first reorders the observations according to their absolute values, then rejects the null when the number of runs in the resulting series of signs is too small. This test is universally consistent and enjoys good robustness properties, but is unfortunately limited to the univariate setup. In this paper, we extend McWilliams’ procedure into tests of bivariate central symmetry. The proposed tests first reorder the observations according to their statistical depth in a symmetrized version of the sample, then reject the null when an original concept of simplicial runs is too small. Our tests are affine invariant and have good robustness properties. In particular, they do not require any finite moment assumption. We derive their limiting null distribution, which establishes their asymptotic distribution freeness. We study their finite-sample properties through Monte Carlo experiments and conclude with some final comments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Notes

  1. Zuo and Serfling (2000a) also consider P2 for weaker concepts of symmetry, namely angular and halfspace symmetry, but, for our purposes, we may restrict to central symmetry in the sequel.

References

  • Azzalini, A., Capitanio, A. (2003). Distributions generated by perturbation of symmetry with emphasis on a multivariate skew-\(t\) distribution. Journal of the Royal Statistical Society Series B, 65, 367–389.

  • Azzalini, A., Dalla Valle A. (1996). The multivariate skew-normal distribution. Biometrika, 83, 715–726.

  • Baringhaus, L. (1991). Testing for spherical symmetry of a multivariate distribution. Annals of the Statistics, 19(2), 899–917. doi:10.1214/aos/1176348127.

    Article  MathSciNet  MATH  Google Scholar 

  • Blough, D. (1989). Multivariate symmetry via projection pursuit. Annals of the Institute of Statistical Mathematics, 41, 461–475.

  • Cassart, D. (2007). Optimal tests for symmetry. Ph.D. thesis, Univ. libre de Bruxelles, Brussels.

  • Cohen, J., Menjoge, S. (1988). One-sample run tests of symmetry. Journal of Statistical Planning and Inference, 18, 93–100.

  • Ghosh, S., Ruymgaart, F. (1992). Applications of empirical characteristic functions in some multivariate problems. The Canadian Journal of Statistics, 20, 429–440.

  • Heathcote, C., Rachev, S., Cheng, B. (1995). Testing multivariate symmetry. Journal of Multivariate Analysis, 54, 91–112.

  • Henze, N. (1993). On the consistency of a test for symmetry based on a runs statistic. Journal of Nonparametric Statistics, 3, 195–199.

    Article  MathSciNet  Google Scholar 

  • Henze, N., Klar, B., Meintanis, S. (2003). Invariant tests for symmetry about an unspecified point based on the empirical characteristic function. Journal of Multivariate Analysis, 87, 275–297.

  • Jones, M., Pewsey, A. (2009). Sinh-arcsinh distributions. Biometrika, 96, 761–780.

  • Liu, R. Y. (1990). On a notion of data depth based on random simplices. Annals of Statistics, 18(1), 405–414. doi:10.1214/aos/1176347507.

    Article  MathSciNet  MATH  Google Scholar 

  • Liu, R. Y., Singh, K. A. (1993). quality index based on data depth and multivariate rank tests. Journal of the American Statististical Association, 88(421), 252–260. http://links.jstor.org/sici?sici=0162-1459(199303)88:421<252:AQIBOD>2.0.CO;2-Y&origin=MSN

  • Marden, J. (1999). Multivariate rank tests (pp. 401–432). In: Multivariate analysis, design of experiments, and survey sampling. New York: Marcel Dekker.

  • McWilliams, T. (1990). A distribution-free test for symmetry based on a runs statistic. Journal of the American Statistical Association, 85, 1130–1133.

    Article  MathSciNet  Google Scholar 

  • Modarres, R.,Gastwirth, J. (1996). A modified runs test for symmetry. Statistics and Probability Letters, 31, 107–112.

  • Neuhaus, G., Zhu, L.-X. (1998). Permutation tests for reflected symmetry. Journal of Multivariate Analysis, 67, 129–153.

  • Neumann, M. (2013). A central limit theorem for triangular arrays of weakly dependent random variables, with applications in statistics. ESAIM: Probability and Statistics, 17, 120–134.

    Article  MathSciNet  MATH  Google Scholar 

  • Oja, H. (1983). Descriptive statistics for multivariate distributions. Statistics & Probability Letters, 1(6), 327–332. doi:10.1016/0167-7152(83)90054-8.

    Article  MathSciNet  MATH  Google Scholar 

  • Paindaveine, D., Van Bever, G. (2013). From depth to local depth : a focus on centrality. Journal of the American Statistical Association, 105, 1105–1119.

  • Serfling, R. (2006). Multivariate symmetry and asymmetry. In: S. Kotz, N. Balakrishnan, C. Read, B. Vidakovic (Eds.), Encyclopedia of statistical sciences, Vol. 8, 2nd edn (pp. 5338–5345). New York: Wiley.

  • Tukey, J. W. (1975). Mathematics and the picturing of data. In: Proceedings of the International Congress of Mathematicians (Vancouver, B. C., 1974), Vol. 2 (pp. 523–531). Canad. Math. Congress, Montreal, Que.

  • Tyler, D. E. (1987). A distribution-free \(M\)-estimator of multivariate scatter. Annals of Statistics, 15(1), 234–251. doi: 10.1214/aos/1176350263.

    Article  MathSciNet  MATH  Google Scholar 

  • Zuo, Y. (2003). Projection-based depth functions and associated medians. Annals of Statistics, 31(5), 1460–1490. doi:10.1214/aos/1065705115.

    Article  MathSciNet  MATH  Google Scholar 

  • Zuo, Y., Serfling, R. (2000a). General notions of statistical depth function. Annals of Statistics, 28(2), 461–482. doi:10.1214/aos/1016218226.

  • Zuo, Y., Serfling, R. (2000b). Structural properties and convergence results for contours of sample statistical depth functions. Annals of Statistics, 28(2), 483–499. doi:10.1214/aos/1016218227.

Download references

Acknowledgments

Christophe Ley thanks the Fonds National de la Recherche Scientifique, Communauté francaise de Belgique, for financial support via a Mandat d’Aspirant and a Mandat de Chargé de Recherche FNRS. The research of Davy Paindaveine was supported by an ARC grant of the Communauté Française de Belgique and by the IAP research network grant P7/06 of the Belgian government (Belgian Science Policy). The authors thank the two anonymous referees and the Editor for valuable comments that led to a significant improvement of the first version of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christophe Ley.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dyckerhoff, R., Ley, C. & Paindaveine, D. Depth-based runs tests for bivariate central symmetry. Ann Inst Stat Math 67, 917–941 (2015). https://doi.org/10.1007/s10463-014-0480-y

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10463-014-0480-y

Keywords

Navigation