Description: Probability, Stochastic Processes, and Queuing Theory : The Mathematics of Computer Performance Modelling, Hardcover by Nelson, Randolph, ISBN 0387944524, ISBN-13 9780387944524, Like New Used, Free shipping in the US This textbook provides a comprehensive introduction to probability and stochastic processes, and shows how these subjects may be applied in computer performance modeling. The author's aim is to derive probability theory in a way that highlights the complementary nature of its formal, intuitive, and applicative aspects while illustrating how the theory is applied in a variety of settings. Readers are assumed to be familiar with elementary linear algebra and calculus, including being conversant with limits, but otherwise, this book provides a self-contained approach suitable for graduate or advanced undergraduate students. The first half of th covers the basic concepts of probability, including combinatorics, expectation, random variables, and fundamental theorems. In the second half of th, the reader is introduced to stochastic processes. Subjects covered include renewal processes, queueing theory, Markov processes, matrix geometric techniques, reversibility, and networks of queues. Examples and applications are drawn from problems in computer performance modeling. Throughout, large numbers of exercises of varying degrees of difficulty will help to secure a reader's understanding of these important and fascinating subjects.
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Book Title: Probability, Stochastic Processes, and Queuing Theory : The Mathe
Number of Pages: Xxviii, 584 Pages
Language: English
Publication Name: Probability, Stochastic Processes, and Queueing Theory : The Mathematics of Computer Performance Modeling
Publisher: Springer New York
Subject: Engineering (General), Probability & Statistics / Stochastic Processes, Probability & Statistics / General, System Theory
Item Height: 0.5 in
Publication Year: 1995
Type: Textbook
Item Weight: 107.2 Oz
Item Length: 10 in
Author: Randolph Nelson
Subject Area: Mathematics, Technology & Engineering, Science
Item Width: 7 in
Format: Hardcover
