Buch, Englisch, 310 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 493 g
Buch, Englisch, 310 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 493 g
ISBN: 978-1-4419-3992-0
Verlag: Springer US
The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes.
Presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov and semi-Markov rewards processes.
The concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Operations Research
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Mathematik | Informatik Mathematik Mathematik Interdisziplinär Finanz- und Versicherungsmathematik
Weitere Infos & Material
Probability Tools for Stochastic Modelling.- Renewal Theory.- Markov Chains.- Markov Renewal Processes, Markov Random Walks and Semi-Markov Processes.- Functionals of (J-X) Processes.- Non-Homogeneous Markov and Semi-Markov Processes.- Markov and Semi-Markov Reward Processes.