Isbn: 9781009179911 - a second course in probability (15 resultados)

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  • Idioma: Inglés

    Editorial: Cambridge University Press, 2023

    1009179918 / 9781009179911

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    Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de AmericaWorld of Books (was SecondSale)

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    EUR 36,57

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    Paperback. Condición: Good. 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.…

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2023

    1009179918 / 9781009179911

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    Librería: WorldofBooks, Goring-By-Sea, WS, Reino UnidoWorldofBooks

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    Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2023

    1009179918 / 9781009179911

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    Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices

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    EUR 51,99

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  • Idioma: Inglés

    Editorial: Cambridge University Press, 2023

    1009179918 / 9781009179911

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    Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices

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    Condición: As New. Unread book in perfect condition.

  • Idioma: Inglés

    Editorial: Cambridge University Press, GB, 2023

    1009179918 / 9781009179911

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    Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de AmericaRarewaves USA

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    Paperback. Condición: New. 2nd. Written by Sheldon Ross and Erol Peköz, 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.…

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2023

    1009179918 / 9781009179911

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Condición: Nuevo

    EUR 59,50

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  • Idioma: Inglés

    Editorial: Cambridge University Press, 2023

    1009179918 / 9781009179911

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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    Condición: Nuevo

    EUR 61,36

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  • Idioma: Inglés

    Editorial: Cambridge University Press, 2023

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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    EUR 62,06

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    Condición: As New. Unread book in perfect condition.

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2023

    1009179918 / 9781009179911

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    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

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    Condición: Nuevo

    EUR 80,76

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    Condición: New. 2nd edition NO-PA16APR2015-KAP.

  • Idioma: Inglés

    Editorial: Cambridge University Press, GB, 2023

    1009179918 / 9781009179911

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    Librería: Rarewaves USA United, HEBRON, KY, Estados Unidos de AmericaRarewaves USA United

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    EUR 61,38

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    Paperback. Condición: New. 2nd. Written by Sheldon Ross and Erol Peköz, 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.…

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2023

    1009179918 / 9781009179911

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    Librería: BestAroundDeals, Grand Rapids, MI, Estados Unidos de AmericaBestAroundDeals

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    EUR 102,62

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    Soft cover. Condición: New. 2nd Edition.

  • Idioma: Inglés

    Editorial: Cambridge University Press, Cambridge, 2023

    1009179918 / 9781009179911

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    EUR 54,42

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    Cantidad disponible: 1 disponible

    Paperback. Condición: 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. …

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2023

    1009179918 / 9781009179911

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    EUR 81,21

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    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2023

    1009179918 / 9781009179911

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    EUR 80,82

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    Condición: New. PRINT ON DEMAND.

  • Idioma: Inglés

    Editorial: Cambridge University Press, Cambridge, 2023

    1009179918 / 9781009179911

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Paperback. Condición: 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. …