Published by Princeton University Press, Princeton, NJ, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Aideo Books, San Marino, CA, U.S.A.
Trade paperback. Condition: New in new dust jacket. First edition. ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. Sewn binding. Cloth over boards. 776 p. Contains: Illustrations. Audience: General/trade.
Published by Princeton University Press, 2009
ISBN 10: 1400832810 ISBN 13: 9781400832811
Seller: Aideo Books, San Marino, CA, U.S.A.
Trade paperback. Condition: New in new dust jacket. First edition. 1st. ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service.
Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Anybook.com, Lincoln, United Kingdom
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1600grams, ISBN:9780691140629.
Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Anybook.com, Lincoln, United Kingdom
US$ 79.64
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1600grams, ISBN:9780691140629.
Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. xviii + 758.
Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
US$ 153.63
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Add to basketCondition: New. 2009. Hardcover. 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. Num Pages: 776 pages, 175 line illus. BIC Classification: PBT; PBWH. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 264 x 184 x 40. Weight in Grams: 1514. . . . . .
Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
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Add to basketCondition: New. pp. xviii + 758 Illus.
Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
US$ 152.51
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Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by Princeton University Press, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2009. Hardcover. 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. Num Pages: 776 pages, 175 line illus. BIC Classification: PBT; PBWH. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 264 x 184 x 40. Weight in Grams: 1514. . . . . . Books ship from the US and Ireland.
Published by Princeton University Press, US, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. 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.
Published by Princeton University Press, US, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
US$ 226.03
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Add to basketHardback. Condition: New. 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.
Published by Princeton University Press, US, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
US$ 206.57
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Add to basketHardback. Condition: New. 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.
US$ 208.71
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Add to basketCondition: New. 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 .
Published by Princeton University Press, New Jersey, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
US$ 235.51
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Add to basketHardcover. Condition: new. Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller: Revaluation Books, Exeter, United Kingdom
US$ 270.12
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Add to basketHardcover. Condition: Brand New. 800 pages. 10.25x7.25x1.75 inches. In Stock.
Published by Princeton University Press, US, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
US$ 217.68
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Add to basketHardback. Condition: New. 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.
Published by Princeton University Press Jul 2009, 2009
ISBN 10: 0691140626 ISBN 13: 9780691140629
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 290.11
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Add to basketBuch. Condition: Neu. Neuware - '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.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 800 pages. 10.25x7.25x1.75 inches. In Stock. This item is printed on demand.