
- 320 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Modeling Random Processes for Engineers and Managers
About this book
By reducing mathematical detail and focusing on real-world applications, this book provides engineers with an easy-to-understand overview of stochastic modeling. An entire chapter is included on how to set up the problem, and then another complete chapter presents examples of applications before doing any math. A previously unpublished computational method for solving equations related to Markov processes is added. The book shows how to add costs or revenues to the basic probability structures without much additional effort. In addition, numerous examples are included that show how the theory can be used. Engineers will also find explanations on how to formulate word problems into the models that the math worked on.
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Yes, you can access Modeling Random Processes for Engineers and Managers by James J. Solberg in PDF and/or ePUB format, as well as other popular books in Technik & Maschinenbau & Maschinen- und Anlagebau. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Title Page
- Copyright
- Preface
- chapter 1. Probability Review
- chapter 2. Formulating Markov Chain Models
- chapter 3. Markov Chain Calculations
- chapter 4. Rewards on Markov Chains
- chapter 5. Continuous Time Markov Processes
- chapter 6. Queueing Models
- chapter 7. Networks of Queues
- chapter 8. Using the Transition Diagram to Compute
- Appendix 1
- Appendix 2
- Index