Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107088011 ISBN 13: 9781107088016
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Añadir al carritoHardcover. Condición: Good. Clean pages tightly bound.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Idioma: Inglés
Publicado por Cambridge University Press, GB, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Añadir al carritoPaperback. Condición: New. The Poisson process, a core object in modern probability, enjoys a richer theory than is sometimes appreciated. This volume develops the theory in the setting of a general abstract measure space, establishing basic results and properties as well as certain advanced topics in the stochastic analysis of the Poisson process. Also discussed are applications and related topics in stochastic geometry, including stationary point processes, the Boolean model, the Gilbert graph, stable allocations, and hyperplane processes. Comprehensive, rigorous, and self-contained, this text is ideal for graduate courses or for self-study, with a substantial number of exercises for each chapter. Mathematical prerequisites, mainly a sound knowledge of measure-theoretic probability, are kept in the background, but are reviewed comprehensively in the appendix. The authors are well-known researchers in probability theory; especially stochastic geometry. Their approach is informed both by their research and by their extensive experience in teaching at undergraduate and graduate levels.
Idioma: Inglés
Publicado por Cambridge University Press October 2017, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
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Añadir al carritoHardcover. Condición: VG. No Jacket. used hardcover copy, lacking a dust jacket (as issued). light shelfwear, corners perhaps slightly bumped. pages and binding are clean, straight, and tight. there are no marks to the text or other serious flaws.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
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Añadir al carritoCondición: very_good. This is a well-cared-for used book with light signs of previous use. There may be minor cover wear, a faint crease, or slight spine wear, but overall it's in great shape and fully readable.Please note:-May contain library or rental stickers.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not include original exterior box.-Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Idioma: Inglés
Publicado por Cambridge University Press 10/26/2017, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Añadir al carritoPaperback or Softback. Condición: New. Lectures on the Poisson Process. Book.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Idioma: Inglés
Publicado por Cambridge University Press CUP, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Añadir al carritoCondición: New. 2017. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Idioma: Inglés
Publicado por Cambridge University Press, 2017
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Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
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Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
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Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
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Idioma: Inglés
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Idioma: Inglés
Publicado por Cambridge University Press, GB, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoPaperback. Condición: New. The Poisson process, a core object in modern probability, enjoys a richer theory than is sometimes appreciated. This volume develops the theory in the setting of a general abstract measure space, establishing basic results and properties as well as certain advanced topics in the stochastic analysis of the Poisson process. Also discussed are applications and related topics in stochastic geometry, including stationary point processes, the Boolean model, the Gilbert graph, stable allocations, and hyperplane processes. Comprehensive, rigorous, and self-contained, this text is ideal for graduate courses or for self-study, with a substantial number of exercises for each chapter. Mathematical prerequisites, mainly a sound knowledge of measure-theoretic probability, are kept in the background, but are reviewed comprehensively in the appendix. The authors are well-known researchers in probability theory; especially stochastic geometry. Their approach is informed both by their research and by their extensive experience in teaching at undergraduate and graduate levels.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 60,72
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The Poisson process, a core object in modern probability, enjoys a richer theory than is sometimes appreciated. This volume develops the theory in the setting of a general abstract measure space, establishing basic results and properties as well as certain advanced topics in the stochastic analysis of the Poisson process. Also discussed are applications and related topics in stochastic geometry, including stationary point processes, the Boolean model, the Gilbert graph, stable allocations, and hyperplane processes. Comprehensive, rigorous, and self-contained, this text is ideal for graduate courses or for self-study, with a substantial number of exercises for each chapter. Mathematical prerequisites, mainly a sound knowledge of measure-theoretic probability, are kept in the background, but are reviewed comprehensively in the appendix. The authors are well-known researchers in probability theory; especially stochastic geometry. Their approach is informed both by their research and by their extensive experience in teaching at undergraduate and graduate levels.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 130,48
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Añadir al carritoHardback. Condición: New. The Poisson process, a core object in modern probability, enjoys a richer theory than is sometimes appreciated. This volume develops the theory in the setting of a general abstract measure space, establishing basic results and properties as well as certain advanced topics in the stochastic analysis of the Poisson process. Also discussed are applications and related topics in stochastic geometry, including stationary point processes, the Boolean model, the Gilbert graph, stable allocations, and hyperplane processes. Comprehensive, rigorous, and self-contained, this text is ideal for graduate courses or for self-study, with a substantial number of exercises for each chapter. Mathematical prerequisites, mainly a sound knowledge of measure-theoretic probability, are kept in the background, but are reviewed comprehensively in the appendix. The authors are well-known researchers in probability theory; especially stochastic geometry. Their approach is informed both by their research and by their extensive experience in teaching at undergraduate and graduate levels.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 117,34
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Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 115,34
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 143,85
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Añadir al carritoCondición: New. pp. 308.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 147,51
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Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 293 pages. 9.25x6.25x0.75 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 125,73
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The Poisson process, a core object in modern probability, enjoys a richer theory than is sometimes appreciated. This volume develops the theory in the setting of a general abstract measure space, establishing basic results and properties as well as certain advanced topics in the stochastic analysis of the Poisson process. Also discussed are applications and related topics in stochastic geometry, including stationary point processes, the Boolean model, the Gilbert graph, stable allocations, and hyperplane processes. Comprehensive, rigorous, and self-contained, this text is ideal for graduate courses or for self-study, with a substantial number of exercises for each chapter. Mathematical prerequisites, mainly a sound knowledge of measure-theoretic probability, are kept in the background, but are reviewed comprehensively in the appendix. The authors are well-known researchers in probability theory; especially stochastic geometry. Their approach is informed both by their research and by their extensive experience in teaching at undergraduate and graduate levels.