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Dependability for systems with a partitioned state space: Markov and semi-Markov theory and computational implementation

Detalles Bibliográficos
Autor principal: Csenki, Attila
Lenguaje:eng
Publicado: Springer 1994
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4612-2674-1
http://cds.cern.ch/record/1607835
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author Csenki, Attila
author_facet Csenki, Attila
author_sort Csenki, Attila
collection CERN
id cern-1607835
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1994
publisher Springer
record_format invenio
spelling cern-16078352021-04-21T22:21:59Zdoi:10.1007/978-1-4612-2674-1http://cds.cern.ch/record/1607835engCsenki, AttilaDependability for systems with a partitioned state space: Markov and semi-Markov theory and computational implementationMathematical Physics and MathematicsSpringeroai:cds.cern.ch:16078351994
spellingShingle Mathematical Physics and Mathematics
Csenki, Attila
Dependability for systems with a partitioned state space: Markov and semi-Markov theory and computational implementation
title Dependability for systems with a partitioned state space: Markov and semi-Markov theory and computational implementation
title_full Dependability for systems with a partitioned state space: Markov and semi-Markov theory and computational implementation
title_fullStr Dependability for systems with a partitioned state space: Markov and semi-Markov theory and computational implementation
title_full_unstemmed Dependability for systems with a partitioned state space: Markov and semi-Markov theory and computational implementation
title_short Dependability for systems with a partitioned state space: Markov and semi-Markov theory and computational implementation
title_sort dependability for systems with a partitioned state space: markov and semi-markov theory and computational implementation
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-1-4612-2674-1
http://cds.cern.ch/record/1607835
work_keys_str_mv AT csenkiattila dependabilityforsystemswithapartitionedstatespacemarkovandsemimarkovtheoryandcomputationalimplementation