Introduction to probability models
This revised and updated text introduces readers to the application probability theory to phenomena in fields such as engineering, computer science, management and actuarial science, the physical and social sciences, and operations research. It contains exercises and worked examples.
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Waltham, MA
Academic Press is an imprint of Elsevier
© 2014
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| Edition: | Eleventh edition |
| Subjects: | |
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Table of Contents:
- 1. Introduction to probability theory
- 2. Random variables
- 3. Conditional probability and conditional expectation
- 4. Markov chains
- 5. The exponential distribution and the Poisson process
- 6. Continuous time Markov chains
- 7. Renewal theory and its applications
- 8. Queueing theory
- 9. Reliability theory
- 10.Brownian motion and stationary processes
- 11. Simulation