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Mathematical Methods in Queuing Theory
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Queueing Theory
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Chapter 2
Necessary Facts from Probability Theory and the Theory of Analytic Functions
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Chapter 3
Random Flows
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Chapter 4
Elementary Methods in Queueing Theory
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Chapter 5
Markov Chains
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Chapter 6
Renewal Processes
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Chapter 7
Regenerative Processes
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Chapter 8
Discrete-Time Markov Queueing Models
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Chapter 9
Markov Queueing Models
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Chapter 10
Method of Supplementary Variables
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Chapter 11
First-Occurrence Events
Overall attention for this book and its chapters
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Mentioned by
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syllabi
1
institution with syllabi
Citations
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60
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Readers on
mendeley
6
Mendeley
Book overview
1. Queueing Theory
2. Necessary Facts from Probability Theory and the Theory of Analytic Functions
3. Random Flows
4. Elementary Methods in Queueing Theory
5. Markov Chains
6. Renewal Processes
7. Regenerative Processes
8. Discrete-Time Markov Queueing Models
9. Markov Queueing Models
10. Method of Supplementary Variables
11. First-Occurrence Events
Summary
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Syllabi
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This data is correct as of December 2015 - for more up to date information, please visit
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So far, Altmetric has seen this research output assigned in
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syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Saint Norbert College
1
Unknown