Editore: Cambridge University Press, 2018
ISBN 10: 1107088011 ISBN 13: 9781107088016
Lingua: Inglese
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Editore: Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
Lingua: Inglese
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Editore: Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
Lingua: Inglese
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Editore: Cambridge University Press, Cambridge, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
Lingua: Inglese
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Paperback. Condizione: new. Paperback. 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. This self-contained introduction to the Poisson process covers basic theory and certain advanced topics in the setting of a general abstract measure space. The text includes applications and numerous exercises, and is ideal for graduate courses or self-study by mathematicians, physicists, and engineers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, GB, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: 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.
Editore: Cambridge University Press 10/26/2017, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
Lingua: Inglese
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Editore: Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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. This self-contained introduction to the Poisson process covers basic theory and certain advanced topics in the setting of a general abstract measure space. The text includes applications and numerous exercises, and is ideal for graduate courses or self-study by mathematicians, physicists, and engineers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, Cambridge, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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. This self-contained introduction to the Poisson process covers basic theory and certain advanced topics in the setting of a general abstract measure space. The text includes applications and numerous exercises, and is ideal for graduate courses or self-study by mathematicians, physicists, and engineers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Lingua: Inglese
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ISBN 10: 1107088011 ISBN 13: 9781107088016
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Editore: Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Lingua: Inglese
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ISBN 10: 1107088011 ISBN 13: 9781107088016
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ISBN 10: 1107458439 ISBN 13: 9781107458437
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Cambridge University Press, GB, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: 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.
Editore: Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Lingua: Inglese
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ISBN 10: 1107088011 ISBN 13: 9781107088016
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Lingua: Inglese
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Aggiungi al carrelloBuch. Condizione: 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.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 293 pages. 9.00x6.00x0.75 inches. In Stock. This item is printed on demand.
Editore: Cambridge University Press, 2018
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This self-contained introduction to the Poisson process covers basic theory and certain advanced topics in the setting of a general abstract measure space. The text includes applications and numerous exercises, and is ideal for graduate courses or self-stud.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 293 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.
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ISBN 10: 1107458439 ISBN 13: 9781107458437
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Lectures on the Poisson Process | Günter Last (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2017 | Cambridge University Press | EAN 9781107458437 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Editore: Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Lingua: Inglese
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Editore: Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Lingua: Inglese
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Editore: Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Lingua: Inglese
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This self-contained introduction to the Poisson process covers basic theory and certain advanced topics in the setting of a general abstract measure space. The text includes applications and numerous exercises, and is ideal for graduate courses or self-stud.