Skip to main content
Log in

On Some Properties of the Unified Skew Normal Distribution

  • Published:
Journal of Statistical Theory and Practice Aims and scope Submit manuscript

Abstract

Like some other multivariate skew normal distributions, the unified skew normal (SUN) distribution preserves important properties of the normal distribution. In this article, we show that for a random vector with a unified multivariate skew normal distribution all column (row) full rank linear transformations are in the same family of distributions. Using this property, we provide a characterization for the SUN distribution. In addition, we show that the joint distribution of the independent SUN random vectors is again a SUN distributed random vector. With this property and closure under the linear transformation, we finally show the closure of sums of independent SUN random vectors, and as expected it belongs to the same family.

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

  • Arellano-Valle, R. B., and A. Azzalini, 2006. On the unification of families of skew-normal distributions. Scand. J. Stat., 33, 561–574.

    Article  MathSciNet  Google Scholar 

  • Arellano-Valle, R. B., and M. G. Genton. 2005. On fundamental skew distributions. J. Multivariate Anal., 96, 93–116.

    Article  MathSciNet  Google Scholar 

  • Azzalini, A. 1985. A class of distributions which includes the normal ones. Scand. J. Stat., 12, 171–178.

    MathSciNet  MATH  Google Scholar 

  • Azzalini, A., and A. Capitanio. 1999. Statistical applications of the multivariate skew normal distributions. J. R. Stat. Soc. Ser. B, 61, 579–602.

    Article  MathSciNet  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  • Chen, J. T., A. K. Gupta, and C. G. Troskie. 2003. The distribution of stock returns when the market is up. Commun. Stat. Theory Methods, 32, 1541–1558.

    Article  MathSciNet  Google Scholar 

  • Chen, J. T., A. K. Gupta, and T. T. Nguyen. 2004. The density of the skew normal sample mean and its applications. J. Stat. Comput. Simulation, 74, 487–494.

    Article  MathSciNet  Google Scholar 

  • Dominguez-Monilla, J. A., G. Gonzalez-Farias, and A. K. Gupta. 2001. General multivariate skew normal distribution. Department of Mathematics and Statistics, Bowling Green State University. Technical Report no. 01-09.

  • Genton, M. G., ed. 2004. Skew-elliptical distributions and their applications: A journey beyond normality. Boca Raton, FL: Chapman and Hall/CRC.

    MATH  Google Scholar 

  • Gonzalez-Farias, G., J. A. Dominguez-Molina, and A. K. Gupta. 2004. The closed skew-normal distribution. In Skew-elliptical distributions and their applications: A journey beyond normality, ed. M. G. Genton, 25–42. Boca Raton, FL: Chapman and Hall/CRC.

    Google Scholar 

  • Gupta, A. K., and J. T. Chen. 2004. A class of multivariate skew-normal models. Ann. Inst. Stat. Math., 56(2), 305–315.

    Article  MathSciNet  Google Scholar 

  • Gupta, A. K., G. Gonzalez-Farias, and J. A. Dominguez-Molina. 2004. A multivariate skew normal distribution. J. Multivariate Anal., 89, 181–190.

    Article  MathSciNet  Google Scholar 

  • Gupta, A. K., and M. A. Aziz. 2011. Robust comonotonic lower convex order bound approximation for the distribution of terminal wealth in finance and actuarial science. Department of Mathematics and Statistics, Bowling Green State University, Technical Report, No. 11-13.

  • Gupta, A. K., and D. K. Nagar. 2000. Matrix variate distributions. Boca Raton, FL: Chapman and Hall/CRC.

    MATH  Google Scholar 

  • Gupta, A. K., and T. Chen. 2001. Goodness-of-fit tests for the skew-normal distribution. Commun. Stat. Simulation Comput., 30, 907–930.

    Article  MathSciNet  Google Scholar 

  • Gupta, A. K., and T. Kollo. 2003. Density expansions based on the multivariate skew normal distribution. Sankhya, 65, 821–835.

    MathSciNet  MATH  Google Scholar 

  • Gupta, A. K., and S. Nadarajah. 2007. Moments and cumulants of the skew normal distribution. Kobe J. Math., 24, 107–124.

    MathSciNet  MATH  Google Scholar 

  • Gupta, A. K., T. T. Nguyen, and J. A. T. Sanqui. 2004. Characterization of the skewnormal distribution. Ann. Inst. Statist. Math., 351–360.

    Article  MathSciNet  Google Scholar 

  • Horn, R. A., and C. R. Johnson. 1991. Topics in matrix analysis. Cambridge, UK: Cambridge University Press.

    Book  Google Scholar 

  • Liseo, B., and N. Loperfido. 2003. A Bayesian interpretation of the multivariate skew-normal distribution. Stat. Probab. Lett., 61, 395–401.

    Article  MathSciNet  Google Scholar 

  • Roberts, C. 1966. A correlation model useful in the study of twins. J. Am. Stat. Assoc., 61, 1184–1190.

    Article  MathSciNet  Google Scholar 

  • Sahu, K., D. K. Dey, and M. D. Branco. 2003. A new class of multivariate skew distributions with applications to Bayesian regression models. Can. J. Stat., 31, 129–150.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Arjun K. Gupta.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gupta, A.K., Aziz, M.A. & Ning, W. On Some Properties of the Unified Skew Normal Distribution. J Stat Theory Pract 7, 480–495 (2013). https://doi.org/10.1080/15598608.2013.790233

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1080/15598608.2013.790233

AMS 2000 Subject Classification

Keywords

Navigation