Skip to main content
Log in

Multivariate T-Normal Distributions in Applied Statistics

  • Published:
Journal of Mathematical Sciences Aims and scope Submit manuscript

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.

REFERENCES

  1. S. A. Aivazian, V. M. Bukhshtaber, I. S. Enyukov, and L. D. Meshalkin, Applied Statistics: Classification and Dimensionality Reduction [in Russian], Finansy i Statistika, Moscow (1989).

    Google Scholar 

  2. A. Afifi and S. Azen, Statistical Analysis, Academic Press, New York (1979).

    Google Scholar 

  3. Yu. N. Blagoveshchenskii and L. D. Meshalkin, “Visualization and classification algorithms based on quantile analysis, ” in: Software, Ser. Applied Statistics [in Russian], Byelorussian Acad. Sci., Minsk (1989), pp. 60–76.

    Google Scholar 

  4. Yu. N. Blagoveshchenskii, “Procedures to rate politicians, ” Russian Monitor, 265–270 (1992).

  5. Yu. N. Blagoveshchenskii, “Construction of a priori Bayesian distributions and computational aspects of Bayesian analysis, ” in: On Applications ofMultivariate Statistical Analysis in Economics and Quality Estimation [in Russian], CEMI RAS, Moscow (1997), pp. 23–24.

    Google Scholar 

  6. L. N. Bol'shev and N. V. Smirnov, Tables of Mathematical Statistics [in Russian], Nauka, Moscow (1983).

    Google Scholar 

  7. J. Hajek and Z. Sidak, Theory of Rank Tests, Academic, CSZV, Prague (1967).

    Google Scholar 

  8. M. DeGroot, Optimal Statistical Decisions, McGraw-Hill, New York (1970).

    Google Scholar 

  9. I. A. Ibragimov and R. Z. Khas'minskii, Statistical Estimation: Asymptotic Theory, Springer, New York (1981).

    Google Scholar 

  10. L. D. Meshalkin, “Nonparametric method of classification of multivariate normal distributions invariant under arbitrary monotone transformations, ” in: Statistical Classification Methods [in Russian], Moscow Univ. Press, Moscow (1969), pp. 33–37.

    Google Scholar 

  11. D. C. Hoaglin, F. Mosteller, and J. W. Tukey (Eds.), Exploring Data Tables ― Trends and Shapes, Wiley, New York (1985).

    Google Scholar 

  12. B. Efron and R. J. Tibshirani, An Introduction to the Bootstrap, Chapman & Hall, New York (1991).

    Google Scholar 

  13. Yu. N. Blagoveschensky and L. D. Meshalkin, “Multidimensional T-normal distribution, ” in: Abstracts of the First Bernoulli Society Congress, Vol. 1 (1986), p. 79.

    Google Scholar 

  14. Yu. N. Blagoveschensky, “T-normal distribution on the Bayesian belief networks, ” in: Computational Learning and Probabilistic Reasoning, Wiley, New York (1996), pp. 161–166.

    Google Scholar 

Download references

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Blagoveshchenskii, Y.N. Multivariate T-Normal Distributions in Applied Statistics. Journal of Mathematical Sciences 103, 556–567 (2001). https://doi.org/10.1023/A:1009550011958

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1009550011958

Keywords

Navigation