Kapitel
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Contents
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William J. Stewart
Kapitel in diesem Buch
- Frontmatter i
- Contents vii
- Preface and Acknowledgments xv
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Part I: PROBABILITY
- Chapter 1. Probability 3
- Chapter 2. Combinatorics—The Art of Counting 25
- Chapter 3. Random Variables and Distribution Functions 40
- Chapter 4. Joint and Conditional Distributions 64
- Chapter 5. Expectations and More 87
- Chapter 6. Discrete Distribution Functions 115
- Chapter 7. Continuous Distribution Functions 134
- Chapter 8. Bounds and Limit Theorems 180
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Part II: MARKOV CHAINS
- Chapter 9. Discrete- and Continuous-Time Markov Chains 193
- Chapter 10. Numerical Solution of Markov Chains 285
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Part III. QUEUEING MODELS
- Chapter 11. Elementary Queueing Theory 385
- Chapter 12. Queues with Phase-Type Laws: Neuts’ Matrix-Geometric Method 444
- Chapter 13. The z-Transform Approach to Solving Markovian Queues 475
- Chapter 14. The M/G/1 and G/M/1 Queues 509
- Chapter 15. Queueing Networks 559
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Part IV: SIMULATION
- Chapter 16. Some Probabilistic and Deterministic Applications of Random Numbers 613
- Chapter 17. Uniformly Distributed “Random” Numbers 625
- Chapter 18. Nonuniformly Distributed “Random” Numbers 647
- Chapter 19. Implementing Discrete-Event Simulations 680
- Chapter 20. Simulation Measurements and Accuracy 697
- Appendix A: The Greek Alphabet 719
- Appendix B: Elements of Linear Algebra 721
- Bibliography 745
- Index 749
Kapitel in diesem Buch
- Frontmatter i
- Contents vii
- Preface and Acknowledgments xv
-
Part I: PROBABILITY
- Chapter 1. Probability 3
- Chapter 2. Combinatorics—The Art of Counting 25
- Chapter 3. Random Variables and Distribution Functions 40
- Chapter 4. Joint and Conditional Distributions 64
- Chapter 5. Expectations and More 87
- Chapter 6. Discrete Distribution Functions 115
- Chapter 7. Continuous Distribution Functions 134
- Chapter 8. Bounds and Limit Theorems 180
-
Part II: MARKOV CHAINS
- Chapter 9. Discrete- and Continuous-Time Markov Chains 193
- Chapter 10. Numerical Solution of Markov Chains 285
-
Part III. QUEUEING MODELS
- Chapter 11. Elementary Queueing Theory 385
- Chapter 12. Queues with Phase-Type Laws: Neuts’ Matrix-Geometric Method 444
- Chapter 13. The z-Transform Approach to Solving Markovian Queues 475
- Chapter 14. The M/G/1 and G/M/1 Queues 509
- Chapter 15. Queueing Networks 559
-
Part IV: SIMULATION
- Chapter 16. Some Probabilistic and Deterministic Applications of Random Numbers 613
- Chapter 17. Uniformly Distributed “Random” Numbers 625
- Chapter 18. Nonuniformly Distributed “Random” Numbers 647
- Chapter 19. Implementing Discrete-Event Simulations 680
- Chapter 20. Simulation Measurements and Accuracy 697
- Appendix A: The Greek Alphabet 719
- Appendix B: Elements of Linear Algebra 721
- Bibliography 745
- Index 749