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Semi-Markov and Markov Renewal Processes

2011
State space is usually defined by the number of units that are working satisfactorily. As far as the applications to reliability theory is concerned, we consider only a finite number of states, contrast with a queueing theory. We mention only the theory of stationary Markov processes with a finite-state space. It is shown that transition probabilities,
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Some renewal-theoretic investigations in the theory of sojourn times in finite semi-Markov processes

Journal of Applied Probability, 1991
In this note, an irreducible semi-Markov process is considered whose finite state space is partitioned into two non-empty sets A and B. Let MB (t) stand for the number of visits of Y to B during the time interval [0, t], t > 0. A renewal argument is used to derive closed-form expressions for the Laplace transform (with respect to
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Using Semi-Markov Chains to Solve Semi-Markov Processes

Methodology and Computing in Applied Probability, 2020
Bei Wu   +2 more
exaly  

Nonparametric reliability estimation of semi-Markov processes

Journal of Statistical Planning and Inference, 2003
Brahim Ouhbi, Nikolaos Limnios
exaly  

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