Lingua: Inglese
Editore: ProbabilityBookStore, Boston, 2007
ISBN 10: 0979570409 ISBN 13: 9780979570407
Da: HHFoodBank, Bloomington, IN, U.S.A.
Hardcover. Condizione: Near Fine. Hardcover boards are Near Fine with very light rubbing. Overall, book is As New, however. Text is pristine and binding as if unread. book.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009179918 ISBN 13: 9781009179911
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 51,02
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009179918 ISBN 13: 9781009179911
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 2nd edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009179918 ISBN 13: 9781009179911
Da: California Books, Miami, FL, U.S.A.
EUR 54,08
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009179918 ISBN 13: 9781009179911
Da: Majestic Books, Hounslow, Regno Unito
EUR 47,51
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009179918 ISBN 13: 9781009179911
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 53,19
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009179918 ISBN 13: 9781009179911
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 48,16
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009179918 ISBN 13: 9781009179911
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 52,77
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Pekozbooks (edition Illustrated), 2007
ISBN 10: 0979570409 ISBN 13: 9780979570407
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009179918 ISBN 13: 9781009179911
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 59,96
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 80,70
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EUR 85,67
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EUR 78,24
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EUR 85,82
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. pp. 212.
EUR 132,03
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Aggiungi al carrelloCondizione: New. pp. 212 Illus.
EUR 80,32
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Aggiungi al carrelloHardback. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009179918 ISBN 13: 9781009179911
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Written by Sheldon Ross and Erol Pekoez, this text familiarises you with advanced topics in probability while keeping the mathematical prerequisites to a minimum. Topics covered include measure theory, limit theorems, bounding probabilities and expectations, coupling and Stein's method, martingales, Markov chains, renewal theory, and Brownian motion. No other text covers all these topics rigorously but at such an accessible level - all you need is an undergraduate-level understanding of calculus and probability. New to this edition are sections on the gambler's ruin problem, Stein's method as applied to exponential approximations, and applications of the martingale stopping theorem. Extra end-of-chapter exercises have also been added, with selected solutions available.This is an ideal textbook for students taking an advanced undergraduate or graduate course in probability. It also represents a useful resource for professionals in relevant application domains, from finance to machine learning. The second edition of this popular text explores advanced topics in probability while keeping mathematical prerequisites to a minimum. With copious exercises and examples, it is an ideal guide for graduate students and professionals in application domains that depend on probability, including operations research, finance and machine learning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 50,78
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 196 pages. 9.00x6.00x0.41 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009179918 ISBN 13: 9781009179911
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 55,65
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 90,94
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009179918 ISBN 13: 9781009179911
Da: CitiRetail, Stevenage, Regno Unito
EUR 66,00
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Written by Sheldon Ross and Erol Pekoez, this text familiarises you with advanced topics in probability while keeping the mathematical prerequisites to a minimum. Topics covered include measure theory, limit theorems, bounding probabilities and expectations, coupling and Stein's method, martingales, Markov chains, renewal theory, and Brownian motion. No other text covers all these topics rigorously but at such an accessible level - all you need is an undergraduate-level understanding of calculus and probability. New to this edition are sections on the gambler's ruin problem, Stein's method as applied to exponential approximations, and applications of the martingale stopping theorem. Extra end-of-chapter exercises have also been added, with selected solutions available.This is an ideal textbook for students taking an advanced undergraduate or graduate course in probability. It also represents a useful resource for professionals in relevant application domains, from finance to machine learning. The second edition of this popular text explores advanced topics in probability while keeping mathematical prerequisites to a minimum. With copious exercises and examples, it is an ideal guide for graduate students and professionals in application domains that depend on probability, including operations research, finance and machine learning. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: moluna, Greven, Germania
EUR 109,77
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 157,55
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 212.
Da: preigu, Osnabrück, Germania
EUR 113,85
Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. A Second Course in Probability | Sheldon M. Ross (u. a.) | Buch | Gebunden | Englisch | 2007 | pekozbooks | EAN 9780979570407 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 145,73
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The 2006 INFORMS Expository Writing Award-winning and best-selling author Sheldon Ross (University of Southern California) teams up with Erol Peköz (Boston University) to bring you this textbook for undergraduate and graduate students in statistics, mathematics, engineering, finance, and actuarial science. This is a guided tour designed to give familiarity with advanced topics in probability without having to wade through the exhaustive coverage of the classic advanced probability theory books. Topics include measure theory, limit theorems, bounding probabilities and expectations, coupling and Stein's method, martingales, Markov chains, renewal theory, and Brownian motion. No other text covers all these advanced topics rigorously but at such an accessible level; all you need is calculus and material from a first undergraduate course in probability.