Introduction to Modeling and Analysis of Stochastic Systems
This is an introductory-level text on stochastic modeling. It is suited for undergraduate students in engineering, operations research, statistics, mathematics, actuarial science, business management, computer science, and public policy. It employs a large number of examples to teach the students to...
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| Format: | Electronic eBook |
| Language: | English |
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New York, NY :
Springer New York,
2011.
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| Edition: | 2. |
| Series: | Springer Texts in Statistics,
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction
- Discrete-Time Markov Models
- Poisson Processes
- Continuous-Time Markov Models
- Generalized Markov Models
- Queueing Models
- Brownian Motion.