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Verlag: Cambridge University Press, 2018
ISBN 10: 1107088011 ISBN 13: 9781107088016
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Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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In den WarenkorbPaperback. Zustand: Brand New. 293 pages. 9.00x6.00x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Zustand: New. 2017. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
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Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 1107458439 ISBN 13: 9781107458437
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Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Anbieter: Kennys Bookstore, Olney, MD, USA
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In den WarenkorbHardcover. Zustand: Brand New. 293 pages. 9.25x6.25x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2017
ISBN 10: 1107088011 ISBN 13: 9781107088016
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: 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.