Proceedings of the International School of Physics "Enrico Fermi". |
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Page 32
The process [J(t),X(t)] is a bivariate Markov process. The process J(t) is not
Markov since elapsed-time information is needed to specif y the statistical future
of the system. The process J(t) is said to be semi-Markov. When all the transition
rate ...
The process [J(t),X(t)] is a bivariate Markov process. The process J(t) is not
Markov since elapsed-time information is needed to specif y the statistical future
of the system. The process J(t) is said to be semi-Markov. When all the transition
rate ...
Page 55
The Markov Approach to Calculating System Reliability: Computational Problems
. 0. A. Clarotti ENEA TIB-ISP OBE Oasacda - 8.P. Anguillarese 301, 00100 Roma,
Italia 1. - Introduction. The so-called Markov approach to calculating system ...
The Markov Approach to Calculating System Reliability: Computational Problems
. 0. A. Clarotti ENEA TIB-ISP OBE Oasacda - 8.P. Anguillarese 301, 00100 Roma,
Italia 1. - Introduction. The so-called Markov approach to calculating system ...
Page 63
If Markov equations are to be numerically solved and CPU time is to be kept
within reasonable limits, no alternative exists to the highly stable implicit methods
which allow the integration step size to be increased as local error constraints get
...
If Markov equations are to be numerically solved and CPU time is to be kept
within reasonable limits, no alternative exists to the highly stable implicit methods
which allow the integration step size to be increased as local error constraints get
...
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Contents
System Eeliabujty | 3 |
Statistical Theory of Eeliablitt | 8 |
Definitions and characterizations | 12 |
Copyright | |
39 other sections not shown
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Common terms and phrases
algorithm approach associated assume assumption Bayesian boundary points chain coherent system complex conjugate prior consider correctness defined denote detected discussed edited equations equivalence class ergodic errors example exponential distribution failure rate Fault Tree Analysis function gamma given human reliability IEEE Trans IFEA implementation increasing independent input domain integration interval likelihood Markov Markov chain matrix mean method modules monotone month2 N. D. Singpurwalla number of failures number of system NUMITEMS observed obtained operational output parameters phase Poisson Poisson process possible predictive prior distribution probability problem procedure Proschan R. E. Barlow random variables reliability growth models reliability theory renewal theory repair requirements sample sect sequence Software Eng software reliability software reliability models specification Stat statistical stochastic stochastic process subsection system failure system reliability techniques theorem tion tt tt values vector zero
Bibliographic information
| Title | Proceedings of the International School of Physics "Enrico Fermi". Volume 94 of Proceedings of the International School of Physics "Enrico Fermi" |
| Authors | A. Serra, Richard E. Barlow, Società italiana di fisica |
| Publisher | North-Holland, 1986 |
| Original from | the University of California |
| Digitized | 26 May 2011 |
| ISBN | 0444869913, 9780444869913 |
| Export Citation | BiBTeX EndNote RefMan |