Teoriya Veroyatnostei i ee Primeneniya
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor
Guidelines for authors
Submit a manuscript

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Teor. Veroyatnost. i Primenen.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Teoriya Veroyatnostei i ee Primeneniya, 1983, Volume 28, Issue 1, Pages 45–61 (Mi tvp2154)  

This article is cited in 2 scientific papers (total in 2 papers)

One-sided versions of strong limit theorems

A. I. Martikaĭnen

Petrozavodsk
Full-text PDF (934 kB) Citations (2)
Abstract: Let $\{S_n\}$ be a random walk, $T_n=S_n-\operatorname{med}(S_n)$, $1/2<\beta<\infty$. Necessary and sufficient conditions for
\begin{gather*} \limsup T_n/n^\beta=0\quad \text{a.\,s.} \\ \limsup T_n/n^\beta=1\quad \text{a.\,s.} \\ \limsup T_n/(2n\log\log n)^{1/2}=1\quad \text{a.\,s.} \end{gather*}
are obtained.
Received: 02.10.1980
English version:
Theory of Probability and its Applications, 1984, Volume 28, Issue 1, Pages 48–64
DOI: https://doi.org/10.1137/1128003
Bibliographic databases:
Language: Russian
Citation: A. I. Martikaǐnen, “One-sided versions of strong limit theorems”, Teor. Veroyatnost. i Primenen., 28:1 (1983), 45–61; Theory Probab. Appl., 28:1 (1984), 48–64
Citation in format AMSBIB
\Bibitem{Mar83}
\by A.~I.~Martika{\v\i}nen
\paper One-sided versions of strong limit theorems
\jour Teor. Veroyatnost. i Primenen.
\yr 1983
\vol 28
\issue 1
\pages 45--61
\mathnet{http://mi.mathnet.ru/tvp2154}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=691467}
\zmath{https://zbmath.org/?q=an:0529.60026|0519.60026}
\transl
\jour Theory Probab. Appl.
\yr 1984
\vol 28
\issue 1
\pages 48--64
\crossref{https://doi.org/10.1137/1128003}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1984SL53600003}
Linking options:
  • https://www.mathnet.ru/eng/tvp2154
  • https://www.mathnet.ru/eng/tvp/v28/i1/p45
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
    Statistics & downloads:
    Abstract page:171
    Full-text PDF :84
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024