Probability, Stochastic Processes, and Queueing Theory
The Mathematics of Computer Performance Modeling
By Randolph Nelson
"Probability, Stochastic Processes, and Queueing Theory" is published by Springer New York in 2010, it has 583 pages and the language of the book is English.
“Probability, Stochastic Processes, and Queueing Theory” Metadata:
- Title: ➤ Probability, Stochastic Processes, and Queueing Theory
- Author: Randolph Nelson
- Language: English
- Number of Pages: 583
- Publisher: Springer New York
- Publish Date: 2010
“Probability, Stochastic Processes, and Queueing Theory” Subjects and Themes:
- Subjects: ➤ Probabilities - Queuing theory - Stochastic processes - Stochastische processen - Files d'attente, Théorie des - Wachttijdproblemen - Probabilités - Processus stochastiques - Mathematics - Distribution (Probability theory) - Computer system performance - Physics - Statistics - Engineering - Probability Theory and Stochastic Processes - Statistics, general - Complexity - System Performance and Evaluation
Edition Specifications:
- Weight: 2.310
- Pagination: xxviii, 584
Edition Identifiers:
- The Open Library ID: OL35766095M - OL3743630W
- ISBN-13: 9781441928467
- All ISBNs: 9781441928467
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"Probability, Stochastic Processes, and Queueing Theory" Description:
The Open Library:
This textbook provides a comprehensive introduction to probability and stochastic processes, and shows how these subjects may be applied in computer performance modelling. The author's aim is to derive the theory in a way that combines its formal, intuitive, and applied aspects so that students may apply this indispensable tool in a variety of different settings. Readers are assumed to be familiar with elementary linear algebra and calculus, including the concept of limit, but otherwise this book provides a self-contained approach suitable for graduate or advanced undergraduate students. The first half of the book covers the basic concepts of probability including expectation, random variables, and fundamental theorems. In the second half of the book the reader is introduced to stochastic processes. Subjects covered include renewal processes, queueing theory, Markov processes, and reversibility as it applies to networks of queues. Examples and applications are drawn from problems in computer performance modelling.
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