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基本説明
This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite.
Full Description
This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, this book provides a foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students. Containing exercises and examples, this volume may be used as a textbook by first-year graduate and upper-level undergraduate students. The work may also be useful as a self-study reference for applications and further research.
Contents
Preface Introduction System Element Models Basic Concepts in Stochastic Processes Simple Markovian Queueing Systems Imbedded Markov Chain Models Extended Markov Models Queueing Networks Renewal Process Models The General Queue G/G/1 and Approximations Statistical Inference for Queueing Models Decision Problems in Queueing Theory Modeling and Analysis Using Computational Tools Appendix A. Poisson Process: Properties and Related Distributions Appendix B. Markov Process Appendix C. Results from Mathematics References Index



