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Teoriya Veroyatnostei i ee Primeneniya, 1974, Volume 19, Issue 1, Pages 173–181 (Mi tvp2771)  

This article is cited in 52 scientific papers (total in 52 papers)

Short Communications

Limit distributions of random variables connected with long duplications in a sequence of independent trials

A. M. Zubkov, V. G. Mikhailov

Moscow
Abstract: Let $X_0,X_1,\dots$ be a sequence of independent trials with $m$ outcomes. We prove limit theorems for the distribution of the number of long duplications
$$ ((X_i,X_{i+1},\dots,X_{i+n-1})=(X_j,X_{j+1},\dots,X_{j+n-1}),\quad1\le i<j\le N), $$
for the distribution of the waiting time until the first duplication of a given length and for the distribution of the maximal duplication length.
Received: 10.05.1973
English version:
Theory of Probability and its Applications, 1974, Volume 19, Issue 1, Pages 172–179
DOI: https://doi.org/10.1137/1119017
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. M. Zubkov, V. G. Mikhailov, “Limit distributions of random variables connected with long duplications in a sequence of independent trials”, Teor. Veroyatnost. i Primenen., 19:1 (1974), 173–181; Theory Probab. Appl., 19:1 (1974), 172–179
Citation in format AMSBIB
\Bibitem{ZubMik74}
\by A.~M.~Zubkov, V.~G.~Mikhailov
\paper Limit distributions of random variables connected with long duplications in a~sequence of independent trials
\jour Teor. Veroyatnost. i Primenen.
\yr 1974
\vol 19
\issue 1
\pages 173--181
\mathnet{http://mi.mathnet.ru/tvp2771}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=339309}
\zmath{https://zbmath.org/?q=an:0326.60024}
\transl
\jour Theory Probab. Appl.
\yr 1974
\vol 19
\issue 1
\pages 172--179
\crossref{https://doi.org/10.1137/1119017}
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  • https://www.mathnet.ru/eng/tvp/v19/i1/p173
  • This publication is cited in the following 52 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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