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Informatika i Ee Primeneniya [Informatics and its Applications], 2013, Volume 7, Issue 2, Pages 55–59
(Mi ia260)
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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
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.
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
Linking options:
https://www.mathnet.ru/eng/ia260 https://www.mathnet.ru/eng/ia/v7/i2/p55
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Abstract page: | 390 | Full-text PDF : | 113 | References: | 63 | First page: | 2 |
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