Skip to main content
Log in

On the Maximum Domain of Attraction for Transformations of a Normal Random Variable

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

Abstract

Limit distributions of the maximum of independent copies of a transformation of a Gaussian random variable are studied. Sufficient and necessary conditions are found for the transformations belonging to Fréchet and Weibull maximum domains of attraction. Simple sufficient conditions are also given.

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. L. de Haan and A. Ferreira, Extreme Value Theory: An Introduction, Springer, New York (2007).

    MATH  Google Scholar 

  2. A. E. Mazur and V. I. Piterbarg, “Gaussian copula time series with heavy tails and strong time dependence,” Moscow Univ. Math. Bull., 70, No. 5, 197–201 (2015).

    Article  MathSciNet  Google Scholar 

  3. V. I. Piterbarg, Asymptotic Methods in Theory of Gaussian Random Processes and Fields, Transl. Math. Monogr., Vol. 148, Amer. Math. Soc., Providence (2012).

  4. E. Seneta, Regularly Varying Functions, Lect. Notes Math., Vol. 508, Springer, Berlin (1976).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. V. Troshin.

Additional information

Translated from Fundamentalnaya i Prikladnaya Matematika, Vol. 23, No. 1, pp. 207–215, 2020.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Troshin, V.V. On the Maximum Domain of Attraction for Transformations of a Normal Random Variable. J Math Sci 262, 537–543 (2022). https://doi.org/10.1007/s10958-022-05834-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10958-022-05834-8

Navigation