Dependability for systems with a partitioned state space :
[Book]
Markov and semi-Markov theory and computational implementation /
Attila Csenki.
New York :
Springer-Verlag,
c1994.
ix, 241 p. :
ill. ;
24 cm.
Lecture notes in statistics ;
90
Includes bibliographical references (p. [235]-239) and index.
1. Stochastic processes for dependability assessment -- 2. Sojourn times for discrete-parameter Markov chains -- 3. The number of visits until absorption to subsets of the state space by a discrete-parameter Markov chain: the multivariate case -- 4. Sojourn times for continuous-parameter Markov chains -- 5. The number of visits to a subset of the state space by a continuous-parameter irreducible Markov chain during a finite time interval -- 6. A compound measure of dependability for continuous-time Markov models of repairable systems -- 7. A compound measure of dependability for continuous-time absorbing Markov systems -- 8. Sojourn times for finite semi-Markov processes -- 9. The number of visits to a subset of the state space by an irreducible semi-Markov process during a finite time interval: moment results -- 10. The number of visits to a subset of the state space by an irreducible semi-Markov process during a finite time interval: the probability mass function.
11. The number of specific service levels of a repairable semi-Markov system during a finite time interval: joint distributions -- 12. Finite time-horizon sojourn times for finite semi-Markov processes.
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Dependability for systems with a partitioned state space.
Dependability for systems with a partitioned state space.