Skip to main content
SpringerLink
Log in

On convergence of the maximum of dependent random variables

  • Published:
Lithuanian Mathematical Journal Aims and scope Submit manuscript

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

References

  1. A. Aksomaitis, Convergence of distributions of extremal independent random variables,Lithuanian Math. J.,30, 87–96 (1990).

    Google Scholar 

  2. A. Aksomaitis,On the scheme of the maximum of dependent random variables, in: Abstracts of the 30th Lithuanian Math. Society Conference [in Lithuanian], pp. 279–280, Vilnius (1989).

  3. P. Gudynas, General limit theorems and approximational inequalities for maximums of dependent random variables,Liet. Mat. Rinkinys,30, 698–716 (1990).

    Google Scholar 

  4. V. M. Zolotarev,Modern Summation Theory of Independent Random Variables[in Russian], Nauka, Moscow (1986).

    Google Scholar 

Download references

Authors
  1. A. Aksomaitis
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Kaunas University of Technology, Studentu 50, 3028 Kaunas, Lithuania. Published in Lietuvos Matematikos Rinkinys, Vol. 32, No. 1, pp. 3–6, January–March, 1992.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Aksomaitis, A. On convergence of the maximum of dependent random variables. Lith Math J 32, 1–3 (1992). https://doi.org/10.1007/BF00970967

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00970967

Keywords

Search

Navigation