Markov chains and dependability theory / Gerardo Rubino and Bruno Sericola.
Material type:
TextPublication details: Cambridge ; Cambridge University Press, 2014.Description: viii, 278 p. : illustrations ; 26 cmISBN: - 9781107007574 (hardback)
- 519.233 23 R896
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 519.233 R896 (Browse shelf(Opens below)) | Available | 135677 |
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| 519.233 R759 Research on Markoff chains | 519.233 R813 Markov processes | 519.233 R893M Markov random fields | 519.233 R896 Markov chains and dependability theory / | 519.233 R918 Gaussian Markov random fields | 519.233 RM-5208-PR Multichain markov renewal programs | 519.233 SCS.65.3 Summer course (advanced) for statisticians |
Includes bibliographical references (pages 271-276) and index.
1. Introduction;
2. Discrete time Markov chains;
3. Continuous time Markov chains;
4. State aggregation;
5. Sojourn times in subsets of states;
6. Occupation times of subsets of states-interval availability;
7. Linear combination of occupation times- performability;
8. Stationary detection;
9. Simulation techniques;
10. Bounding techniques;
References--
Index.
This book covers fundamental and applied results of Markov chain analysis for the evaluation of dependability metrics, for graduate students and researchers.
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