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Teoriya Veroyatnostei i ee Primeneniya, 1967, Volume 12, Issue 4, Pages 741–746 (Mi tvp763)  

This article is cited in 3 scientific papers (total in 3 papers)

Short Communications

On the distribution of the statistic of the most powerful test in compound Markov chains

P. F. Belyaev

Moscow
Full-text PDF (379 kB) Citations (3)
Abstract: The paper deals with a sequence of outcomes realized after $n$ tests, connected into a compound Markov chain of order $s-1$ with $k$ states and with the transition probabilities of the form $1/k+\alpha/k\varphi(k)$ where $\varphi(k)$ as $k\to\infty$ and $|\alpha|<C$.
The statistic of the most powerful test for two simple hypotheses concerning the values of $\alpha$ is considered and some asymptotic properties of this statistic are studied as $n$, $k\to\infty$.
Received: 07.06.1966
English version:
Theory of Probability and its Applications, 1967, Volume 12, Issue 4, Pages 678–682
DOI: https://doi.org/10.1137/1112084
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: P. F. Belyaev, “On the distribution of the statistic of the most powerful test in compound Markov chains”, Teor. Veroyatnost. i Primenen., 12:4 (1967), 741–746; Theory Probab. Appl., 12:4 (1967), 678–682
Citation in format AMSBIB
\Bibitem{Bel67}
\by P.~F.~Belyaev
\paper On the distribution of the statistic of the most powerful test in compound Markov chains
\jour Teor. Veroyatnost. i Primenen.
\yr 1967
\vol 12
\issue 4
\pages 741--746
\mathnet{http://mi.mathnet.ru/tvp763}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=225419}
\zmath{https://zbmath.org/?q=an:0178.21701}
\transl
\jour Theory Probab. Appl.
\yr 1967
\vol 12
\issue 4
\pages 678--682
\crossref{https://doi.org/10.1137/1112084}
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  • https://www.mathnet.ru/eng/tvp/v12/i4/p741
  • This publication is cited in the following 3 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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