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Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of ..
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Condition:
“Clean and unmarked. Some minor cosmetic shelf wear. From a private collection. Very good condition. ”... Read moreabout condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Located in: San Diego, California, United States
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eBay item number:226804543709
Item specifics
- Condition
- Very Good
- Seller Notes
- Book Title
- Probability, Markov Chains, Queues, and Simulation: The Mathemati
- ISBN
- 9780691140629
About this product
Product Identifiers
Publisher
Princeton University Press
ISBN-10
0691140626
ISBN-13
9780691140629
eBay Product ID (ePID)
70956573
Product Key Features
Number of Pages
776 Pages
Publication Name
Probability, Markov Chains, Queues, and Simulation : the Mathematical Basis of Performance Modeling
Language
English
Subject
Data Modeling & Design, Probability & Statistics / Stochastic Processes, Probability & Statistics / General, Applied
Publication Year
2009
Type
Textbook
Subject Area
Mathematics, Computers
Format
Hardcover
Dimensions
Item Height
1.9 in
Item Weight
52.1 Oz
Item Length
10.2 in
Item Width
7.5 in
Additional Product Features
Intended Audience
College Audience
LCCN
2008-041122
Dewey Edition
22
Reviews
The book represents a valuable text for courses in statistics and stochastic processes, so it is strongly recommended to libraries. -- Hassan S. Bakouch, Journal of Applied Statistics, The book represents a valuable text for courses in statistics and stochastic processes, so it is strongly recommended to libraries. ---Hassan S. Bakouch, Journal of Applied Statistics, "Clear and pleasant to read, this book distinguishes itself from comparable textbooks by its inclusion of the computational aspects of the material." --Richard R. Muntz, University of California, Los Angeles, "The book represents a valuable text for courses in statistics and stochastic processes, so it is strongly recommended to libraries."-- Hassan S. Bakouch, Journal of Applied Statistics, "This is an excellent book on the topics of probability, Markov chains, and queuing theory. Extremely well-written, the contents range from elementary topics to quite advanced material and include plenty of well-chosen examples." --Adarsh Sethi, University of Delaware, "The book represents a valuable text for courses in statistics and stochastic processes, so it is strongly recommended to libraries." --Hassan S. Bakouch, Journal of Applied Statistics, The book represents a valuable text for courses in statistics and stochastic processes, so it is strongly recommended to libraries.
Illustrated
Yes
Dewey Decimal
519.201/13
Synopsis
Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a fundamental role. The textbook is relevant to a wide variety of fields, including computer science, engineering, operations research, statistics, and mathematics. The textbook looks at the fundamentals of probability theory, from the basic concepts of set-based probability, through probability distributions, to bounds, limit theorems, and the laws of large numbers. Discrete and continuous-time Markov chains are analyzed from a theoretical and computational point of view. Topics include the Chapman-Kolmogorov equations; irreducibility; the potential, fundamental, and reachability matrices; random walk problems; reversibility; renewal processes; and the numerical computation of stationary and transient distributions.The M/M/1 queue and its extensions to more general birth-death processes are analyzed in detail, as are queues with phase-type arrival and service processes. The M/G/1 and G/M/1 queues are solved using embedded Markov chains; the busy period, residual service time, and priority scheduling are treated. Open and closed queueing networks are analyzed. The final part of the book addresses the mathematical basis of simulation. Each chapter of the textbook concludes with an extensive set of exercises. An instructor's solution manual, in which all exercises are completely worked out, is also available (to professors only). * Numerous examples illuminate the mathematical theories * Carefully detailed explanations of mathematical derivations guarantee a valuable pedagogical approach * Each chapter concludes with an extensive set of exercises, Offers a modern and authoritative treatment of the mathematical processes that underlie performance modeling. This book looks at the fundamentals of probability theory, from the basic concepts of set-based probability, through probability distributions, to bounds, limit theorems, and the laws of large numbers., Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a fundamental role. The textbook is relevant to a wide variety of fields, including computer science, engineering, operations research, statistics, and mathematics. The textbook looks at the fundamentals of probability theory, from the basic concepts of set-based probability, through probability distributions, to bounds, limit theorems, and the laws of large numbers. Discrete and continuous-time Markov chains are analyzed from a theoretical and computational point of view. Topics include the Chapman-Kolmogorov equations; irreducibility; the potential, fundamental, and reachability matrices; random walk problems; reversibility; renewal processes; and the numerical computation of stationary and transient distributions. The M/M/1 queue and its extensions to more general birth-death processes are analyzed in detail, as are queues with phase-type arrival and service processes. The M/G/1 and G/M/1 queues are solved using embedded Markov chains; the busy period, residual service time, and priority scheduling are treated. Open and closed queueing networks are analyzed. The final part of the book addresses the mathematical basis of simulation. Each chapter of the textbook concludes with an extensive set of exercises. An instructor's solution manual, in which all exercises are completely worked out, is also available (to professors only). Numerous examples illuminate the mathematical theories Carefully detailed explanations of mathematical derivations guarantee a valuable pedagogical approach Each chapter concludes with an extensive set of exercises
LC Classification Number
QA273.S7532 2009
Item description from the seller
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- h***t (38)- Feedback left by buyer.Past monthVerified purchaseVery happy with my purchase the item was in great quality thank you so much!
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Seller feedback (5,363)
- h***t (38)- Feedback left by buyer.Past monthVerified purchaseVery happy with my purchase the item was in great quality thank you so much!
- r***o (433)- Feedback left by buyer.Past monthVerified purchaseItem as promised, fast ship well packed...a good deal AAA+++ Seller...Thx
- l***i (249)- Feedback left by buyer.Past monthVerified purchaseThank you.