Introduction.- Discrete-Time Markov Models.- Poisson Processes.- Continuous-Time Markov Models.- Generalized Markov Models.- Queueing Models.- Brownian Motion. This book provides a self-contained review of all the relevant topics in probability theory. A software package called MAXIM, which runs
Modeling, Analysis, Design, and Control of Stochastic Systems
β Scribed by V.G. Kulkarni (auth.)
- Publisher
- Springer New York
- Year
- 1999
- Tongue
- English
- Leaves
- 381
- Series
- Springer Text in Statistics
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content:
Front Matter....Pages i-xiv
Probability....Pages 1-25
Univariate Random Variables....Pages 27-63
Multivariate Random Variables....Pages 65-85
Conditional Probability and Expectations....Pages 87-103
Discrete-Time Markov Models....Pages 105-152
Continuous-Time Markov Models....Pages 153-213
Generalized Markov Models....Pages 215-250
Queueing Models....Pages 251-300
Optimal Design....Pages 301-316
Optimal Control....Pages 317-351
Back Matter....Pages 353-375
π SIMILAR VOLUMES
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