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Stochastic Processes and their Applications
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Ashland :
Arcler Press,
2019.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Half Title Page; Title Page; Copyright Page; About the Author; Table of Contents; List of Figures; List of Tables; Preface; Chapter 1 Stochastic Processes, Markov Chains and Continuous-Time Applications; 1.1. Introduction; 1.2. Preliminary Results; Chapter 2 Poisson Processes; 2.1. Punctual Processes; 2.2. Poisson Processes Definition; 2.3. Definition Form of a Point Process; 2.4. Properties; 2.5. Main Results; 2.6. Determining The Ordering; 2.7. Alternative Definitions of Poisson Processes; 2.8. Poisson Processes In Two or More Dimensions; 2.9. Projections; 2.10. Poisson Process
- 2.11. Processes Which Are Not HomogenousChapter 3 Markov Chains In Continuous Time; 3.1. Pure Markov Processes; 3.2 Properties; 3.3. Explosions; 3.4 Kolmogorov Equations; 3.5. Classification of States And Invariant Measures; 3.6. Skeleton Process; 3.7. Birth And Death Processes; Chapter 4 Applications In Biology; 4.1. Modeling The Growing Populations; Chapter 5 Network Analysis Modeled With Stochastic Processes; 5.1. Introduction; 5.2. Statement of The Problem; 5.3. Justification of Using Stochastic Processes; 5.4. The Objectives; 5.5. Theoretical Framework; 5.6. Time Series Models
- 5.7. Stochastic Processes5.8. Entropy as a Measure of Information; 5.9. Markov Chains In Continuous Time: Liability of a Multiprocessor; 5.10. Queuing; 5.11. Queue Networks; 5.12. Experiment Design; 5.13. Simulation Experiment; 5.14. Experimental Results; 5.15. General Analysis System; 5.16. Design of The Optimization Model; 5.17. Optimization Model; 5.18. Model Solution; 5.19. Tool Design; Chapter 6 Stochastic Modeling And Simulation; 6.1. Counting Processes; 6.2. Theory of Tails; 6.3. Variations Model M/G/1; Appendixs; Conclusions; Bibliography; Index