Modeling Random Processes for Engineers and Managers
December 2008, ©2009
1. Probability Review.
2. Formulating Markov Chain Models.
3. Markov Chain Calculations.
4. Rewards on Markov Chains.
5. Continuous Time Markov Processes.
6. Queueing Models.
7. Networks of Queues.
8. Using the Transition Diagram to Computer.
Numerous case studies and examples involving realistic applications that demonstrate versatility of the tools and help ease learning
Gives students access to standard knowledge in elementary stochastic processes but supplements with more, including spreadsheet calculations and less conventional material
Unique approach to computation: relates computational solutions to visually recognizable subgraphs of the transition diagram; equally suitable for either numerical or symbolic solutions
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