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Informatika i Ee Primeneniya [Informatics and its Applications], 2013, Volume 7, Issue 2, Pages 55–59 (Mi ia260)  

This article is cited in 7 scientific papers (total in 7 papers)

Bayesian recurrent model of reliability growth: uniform distribution of parameters

A. A. Kudriavtseva, I. A. Sokolovb, S. Ya. Shorginb

a Faculty of Computational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University
b IPI RAN
Full-text PDF (160 kB) Citations (7)
References:
Abstract: The paper is devoted to justification of expediency of Bayesian approach at the solution of the tasks connected with determination of reliability of complex modifiable systems. As illustration, average value of reliability of system is presented in a case where characteristics of “defectiveness” and “efficiency” of the means correcting imperfections of system are uniformly distributed.
Keywords: modifiable information systems; reliability theory; Bayesian approach.
Document Type: Article
Language: Russian
Citation: A. A. Kudriavtsev, I. A. Sokolov, S. Ya. Shorgin, “Bayesian recurrent model of reliability growth: uniform distribution of parameters”, Inform. Primen., 7:2 (2013), 55–59
Citation in format AMSBIB
\Bibitem{KudSokSho13}
\by A.~A.~Kudriavtsev, I.~A.~Sokolov, S.~Ya.~Shorgin
\paper Bayesian recurrent model of reliability growth: uniform distribution of parameters
\jour Inform. Primen.
\yr 2013
\vol 7
\issue 2
\pages 55--59
\mathnet{http://mi.mathnet.ru/ia260}
Linking options:
  • https://www.mathnet.ru/eng/ia260
  • https://www.mathnet.ru/eng/ia/v7/i2/p55
  • This publication is cited in the following 7 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    References:63
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