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Book contents
- Frontmatter
- Contents
- List of abbreviations and acronyms
- Preface
- Acknowledgments
- 1 Introduction
- Part I Probability, random variables, and statistics
- Part II Transform methods, bounds, and limits
- Part III Random processes
- Part IV Statistical inference
- Part V Applications and advanced topics
- 20 Hidden Markov models and applications
- 21 Probabilistic models in machine learning
- 22 Filtering and prediction of random processes
- 23 Queueing and loss models
- References
- Index
23 - Queueing and loss models
from Part V - Applications and advanced topics
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- List of abbreviations and acronyms
- Preface
- Acknowledgments
- 1 Introduction
- Part I Probability, random variables, and statistics
- Part II Transform methods, bounds, and limits
- Part III Random processes
- Part IV Statistical inference
- Part V Applications and advanced topics
- 20 Hidden Markov models and applications
- 21 Probabilistic models in machine learning
- 22 Filtering and prediction of random processes
- 23 Queueing and loss models
- References
- Index
Summary
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- Type
- Chapter
- Information
- Probability, Random Processes, and Statistical AnalysisApplications to Communications, Signal Processing, Queueing Theory and Mathematical Finance, pp. 695 - 739Publisher: Cambridge University PressPrint publication year: 2011