1. Introduction 2. Discrete time Markov chains 3. Continuous time Markov chains 4. State aggregation of Markov chains 5. Sojourn times in subsets of states 6. Occupation times 7. Performability 8. Stationary detection 9. Simulation of dependability models 10. Bounding techniques.
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