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Stochastic processes with applications to reliability theory
Reliability theory is of fundamental importance for engineers and managers involved in the manufacture of high-quality products and the design of reliable systems. In order to make sense of the theory, however, and to apply it to real systems, an understanding of the basic stochastic processes is in...
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| Auteur principal : | |
|---|---|
| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Stochastic processes with applications to reliability theory / Toshio Nakagawa |
| Publié : |
London :
Springer
, C 2011 |
| Description matérielle : | 1 vol. (IX-251 p.) |
| Collection : | Springer series in reliability engineering (Print) |
| Contenu : | 1. Introduction. 2. Poisson Processes. 3. Renewal Processes. 4. Markov Chains. 5. Semi-Markov and Markov Renewal Processes. 6. Cumulative Processes. 7. Brownian Motion and Lévy Processes. 8. Redundant Systems |
| Sujets : | |
| Documents associés : | Autre format:
Stochastic Processes |
Bib. CRDM (Mathématiques)
| | Cote | Prêt | Statut |
|---|---|---|---|
| Bibliothèque | 60C309 | Prêt sans prolongation | Disponible |