Skip to main content
Log in

Tests of elliptical symmetry and the asymptotic tail behavior of the statistics

  • Published:
Applied Mathematics-A Journal of Chinese Universities Aims and scope Submit manuscript

Abstract

In this paper, some test statistics of Kolmogorov type and Cramervon Mises type based on projection pursuit technique are proposed for testing the sphericity problem of a high-dimensional distribution. The limiting distributions of the test statistics are derived under the null hypothesis. The asymptotic properties of Bootstrap approximation are investigated and the tail behaviors of the statistics are studied.

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.

Similar content being viewed by others

References

  1. Butler, C. C., A test for symmetry using the sample distribution function, Ann. Math. Statist., 1969, 40:2091–2210.

    Google Scholar 

  2. Rothman, E. D. and Woodrofe, M., A Cramér von Misess type statistics for testing symmetry, Ann. Math. Statist., 1972, 43:2035–2038.

    Google Scholar 

  3. Baringhaus, L., Testing for spherical symmetry of a multivariate distribution, Ann. Statist. 1991, 19: 899–917.

    MATH  Google Scholar 

  4. Huber, P.J., Projection pursuit (with discussion), Ann. Statist., 1985, 13:435–525.

    MATH  Google Scholar 

  5. Fang K. T., Zhu, L. X. and Bentler, P. M., A necessary test for sphericity of high-dimensional distribution, J. Multivariate Anal., 1993, 45:34–55.

    Article  MATH  Google Scholar 

  6. Watson, G. S., Statistics in Sphere, John Wiley, New York, 1983.

    Google Scholar 

  7. Beran, R., and Miller, P.M., Convergence sets for a multivariate distribution, Ann. Statist. 1986, 14: 431–443.

    MATH  Google Scholar 

  8. Dudley, R. M. and Philipp W., Central limit theorems for empirical processes, Ann. Probab., 1978, 6: 899–929.

    MATH  Google Scholar 

  9. Dudley, R. M. and Philipp, W., Invariance principles for sums of Banach space valued random elements and empirical processes, Z. Wahrsch. Verw. Gebiete. 1983, 62:509–552.

    Article  MATH  Google Scholar 

  10. Gine, E., and Zinn, J., Bootstrapping general empirical measures, Ann. Probab., 1990, 18:851–869.

    MATH  Google Scholar 

  11. Fang, K. T. and Wang, Y., Number-theoretic Methods in Statistics (Monographs on statistics and Applied Probability 51) Chapman and Hall, London 1993.

    Google Scholar 

  12. Zhang, J., Zhu, L.X. and Cheng, P., Exponential bounds for the uniform deviation of a kind of empirical processes (II). J. Multivariate Anal., 1993, 37:250–258.

    Article  Google Scholar 

  13. Zhu, L. X. and Cheng, P., The optimal lower bounds of tail probability for the supreme of Gaussian processes indexed by half spaces. Sankhyä Ser. A, 1994, 56:265–293.

    MATH  Google Scholar 

  14. Cheng, P. and Zhu, L. X., Tail Probability inequalities for the PP type Cramér-von Mises statistics, In: Jiang, Z., Yan, S., Cheng, P., et al. eds., Probability and Statistics, World Scientific, Singapore, 1992, 46–55.

    Google Scholar 

  15. Weber M., The supremum of Gaussian processes with a constant variance, Probab. Mh. Rel. Fields., 1989, 81:585–591.

    MATH  Google Scholar 

  16. Adler, R. J. and Samorodnisky, G., Tail behavior for the supreme of Gaussian processes with applications to empirical processes, Ann. Probab., 1987, 15:1339–1715.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Project Supported by the NSF of China and the state Education Commission for Returnhed Scholar.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ping, J., Lixing, Z. Tests of elliptical symmetry and the asymptotic tail behavior of the statistics. Appl. Math. Chin. Univ. 14, 423–432 (1999). https://doi.org/10.1007/s11766-999-0072-4

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11766-999-0072-4

1991 MR Subject Classification

Keywords

Navigation