Markov Processes for Stochastic Modeling
(Sprache: Englisch)
Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image...
Leider schon ausverkauft
versandkostenfrei
Buch (Kartoniert)
Fr. 119.90
inkl. MwSt.
- Kreditkarte, Paypal, Rechnungskauf
- 30 Tage Widerrufsrecht
Produktdetails
Produktinformationen zu „Markov Processes for Stochastic Modeling “
Klappentext zu „Markov Processes for Stochastic Modeling “
Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems.
Covering a wide range of areas of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriented book that also includes enough theory to provide a solid ground in the subject for the reader.
Inhaltsverzeichnis zu „Markov Processes for Stochastic Modeling “
1. Basic Concepts2. Introduction to Markov Processes
3. Discrete-Time Markov Chains
4. Continuous-Time Markov Chains
5. Markovian Queueing Systems
6. Markov Renewal Processes
7. Markovian Arrival Processes
8. Random Walk
9. Brownian Motion and Diffusion Processes
10. Controlled Markov Processes
11. Hidden Markov Models
12. Markov Point Processes
Autoren-Porträt von Oliver Ibe
Dr Ibe has been teaching at U Mass since 2003. He also has more than 20 years of experience in the corporate world, most recently as Chief Technology Officer at Sineria Networks and Director of Network Architecture for Spike Broadband Corp.
Bibliographische Angaben
- Autor: Oliver Ibe
- 2013, 2. Aufl., XVIII, 494 Seiten, Masse: 15,1 x 22,8 cm, Kartoniert (TB), Englisch
- Verlag: Elsevier Science & Technology
- ISBN-10: 0323282954
- ISBN-13: 9780323282956
- Erscheinungsdatum: 17.06.2013
Sprache:
Englisch
Kommentar zu "Markov Processes for Stochastic Modeling"
0 Gebrauchte Artikel zu „Markov Processes for Stochastic Modeling“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Markov Processes for Stochastic Modeling".
Kommentar verfassen