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Teoriya Veroyatnostei i ee Primeneniya, 1979, Volume 24, Issue 4, Pages 873–879 (Mi tvp2915)  

This article is cited in 11 scientific papers (total in 11 papers)

Short Communications

Asymptotic analysis of distributions in the problems with two boundaries. II

V. I. Lotov

Novosibirsk
Abstract: Let the conditions of the first part of the paper are satisfied. We obtain the complete asymptotic expansions of the probabilities
\begin{gather*} \mathbf P\{S_n=k,\,N>n\},\qquad k\in(-a,b),\\ \mathbf P\{S_N=k,\,N=n\},\qquad k\notin(-a,b), \end{gather*}
for the case $a=a(n)=o(n)$, $b=b(n)=o(n)$, $a\to\infty$, $b\to\infty$, $a+b\ge Cn^{1/2}$.
Received: 04.07.1977
English version:
Theory of Probability and its Applications, 1979, Volume 24, Issue 4, Pages 869–876
DOI: https://doi.org/10.1137/1124103
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. I. Lotov, “Asymptotic analysis of distributions in the problems with two boundaries. II”, Teor. Veroyatnost. i Primenen., 24:4 (1979), 873–879; Theory Probab. Appl., 24:4 (1979), 869–876
Citation in format AMSBIB
\Bibitem{Lot79}
\by V.~I.~Lotov
\paper Asymptotic analysis of distributions in the problems with two boundaries.~II
\jour Teor. Veroyatnost. i Primenen.
\yr 1979
\vol 24
\issue 4
\pages 873--879
\mathnet{http://mi.mathnet.ru/tvp2915}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=550546}
\zmath{https://zbmath.org/?q=an:0416.60059}
\transl
\jour Theory Probab. Appl.
\yr 1979
\vol 24
\issue 4
\pages 869--876
\crossref{https://doi.org/10.1137/1124103}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1979KW11900021}
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  • https://www.mathnet.ru/eng/tvp/v24/i4/p873
    Cycle of papers
    This publication is cited in the following 11 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
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