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...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2011. |
| Col·lecció: | Springer Series in Reliability Engineering
|
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Stochastic processes with applications to reliability theory, Toshio Nakagawa, 2011, London, Springer, 1 vol. (IX-251 p.), Springer series in reliability engineering, 978-0-85729-273-5 |
Taula de continguts:
- 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

