Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 45,42
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Añadir al carritopaperback. Condición: Very Good. Cover and edges may have some wear.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 64,97
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Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 67,53
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 67,87
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press CUP, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 69,89
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Añadir al carritoCondición: New. 3rd edition niversity Press NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: Majestic Books, Hounslow, Reino Unido
EUR 68,04
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Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 66,75
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Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 67,24
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Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 66,91
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 73,93
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: Revaluation Books, Exeter, Reino Unido
EUR 92,82
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Añadir al carritoPaperback. Condición: Brand New. 3rd edition. 466 pages. 10.00x0.94x10.00 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: GoldBooks, Denver, CO, Estados Unidos de America
EUR 115,95
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Añadir al carritoPaperback. Condición: new. New Copy. Customer Service Guaranteed.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 130,01
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Añadir al carritoCondición: New. 2024. 3rd Edition. paperback. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 81,12
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The third edition of this highly regarded text provides a rigorous, yet entertaining, introduction to probability theory and the analytic ideas and tools on which the modern theory relies. The main changes are the inclusion of the Gaussian isoperimetric inequality plus many improvements and clarifications throughout the text. With more than 750 exercises, it is ideal for first-year graduate students with a good grasp of undergraduate probability theory and analysis. Starting with results about independent random variables, the author introduces weak convergence of measures and its application to the central limit theorem, and infinitely divisible laws and their associated stochastic processes. Conditional expectation and martingales follow before the context shifts to infinite dimensions, where Gaussian measures and weak convergence of measures are studied. The remainder is devoted to the mutually beneficial connection between probability theory and partial differential equations, culminating in an explanation of the relationship of Brownian motion to classical potential theory.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 148,28
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Añadir al carritoCondición: New. 2024. 3rd Edition. paperback. . . . . .
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 67,34
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. The third edition of this highly regarded text provides a rigorous, yet entertaining, introduction to probability theory and the analytic ideas and tools on which the modern theory relies. The main changes are the inclusion of the Gaussian isoperimetric inequality plus many improvements and clarifications throughout the text. With more than 750 exercises, it is ideal for first-year graduate students with a good grasp of undergraduate probability theory and analysis. Starting with results about independent random variables, the author introduces weak convergence of measures and its application to the central limit theorem, and infinitely divisible laws and their associated stochastic processes. Conditional expectation and martingales follow before the context shifts to infinite dimensions, where Gaussian measures and weak convergence of measures are studied. The remainder is devoted to the mutually beneficial connection between probability theory and partial differential equations, culminating in an explanation of the relationship of Brownian motion to classical potential theory. This text provides a rigorous, yet entertaining, introduction to modern probability theory and the analytic ideas and tools on which it relies. The third edition includes a new treatment of the Gaussian isoperimetric inequality and numerous improvements and clarifications. With more than 750 exercises, it is ideal for first-year graduate students. 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
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: Revaluation Books, Exeter, Reino Unido
EUR 62,71
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 3rd edition. 466 pages. 10.00x0.94x10.00 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 66,92
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2024
ISBN 10: 1009549006 ISBN 13: 9781009549004
Librería: CitiRetail, Stevenage, Reino Unido
EUR 73,33
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. The third edition of this highly regarded text provides a rigorous, yet entertaining, introduction to probability theory and the analytic ideas and tools on which the modern theory relies. The main changes are the inclusion of the Gaussian isoperimetric inequality plus many improvements and clarifications throughout the text. With more than 750 exercises, it is ideal for first-year graduate students with a good grasp of undergraduate probability theory and analysis. Starting with results about independent random variables, the author introduces weak convergence of measures and its application to the central limit theorem, and infinitely divisible laws and their associated stochastic processes. Conditional expectation and martingales follow before the context shifts to infinite dimensions, where Gaussian measures and weak convergence of measures are studied. The remainder is devoted to the mutually beneficial connection between probability theory and partial differential equations, culminating in an explanation of the relationship of Brownian motion to classical potential theory. This text provides a rigorous, yet entertaining, introduction to modern probability theory and the analytic ideas and tools on which it relies. The third edition includes a new treatment of the Gaussian isoperimetric inequality and numerous improvements and clarifications. With more than 750 exercises, it is ideal for first-year graduate students. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.