Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- Symbols
- 1 Introduction
- Part I Probability theory
- Part II Stochastic processes
- 7 The Poisson process
- 8 Renewal theory
- 9 Discrete-time Markov chains
- 10 Continuous-time Markov chains
- 11 Applications of Markov chains
- 12 Branching processes
- 13 General queueing theory
- 14 Queueing models
- Part III Network science
- Appendix A A summary of matrix theory
- Appendix B Solutions of problems
- References
- Index
9 - Discrete-time Markov chains
from Part II - Stochastic processes
Published online by Cambridge University Press: 05 June 2014
- Frontmatter
- Dedication
- Contents
- Preface
- Symbols
- 1 Introduction
- Part I Probability theory
- Part II Stochastic processes
- 7 The Poisson process
- 8 Renewal theory
- 9 Discrete-time Markov chains
- 10 Continuous-time Markov chains
- 11 Applications of Markov chains
- 12 Branching processes
- 13 General queueing theory
- 14 Queueing models
- Part III Network science
- Appendix A A summary of matrix theory
- Appendix B Solutions of problems
- References
- Index
Summary
- Type
- Chapter
- Information
- Performance Analysis of Complex Networks and Systems , pp. 179 - 204Publisher: Cambridge University PressPrint publication year: 2014