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V. V. Buldygin:

Geometric Aspects of Probability Theory and Mathematical Statistics - pocketboek

2010, ISBN: 9048155053

[EAN: 9789048155057], Neubuch, [SC: 0.0], [PU: Springer Netherlands], DIMENSION; GAUSSIAN PROCESS; GRAD; DISTRIBUTION; STOCHASTIC PROCESSES, Druck auf Anfrage Neuware - It is well known t… Meer...

NEW BOOK. Verzendingskosten:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Geometric Aspects of Probability Theory and Mathematical Statistics - A. B. Kharazishvili; V. V. Buldygin
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A. B. Kharazishvili; V. V. Buldygin:

Geometric Aspects of Probability Theory and Mathematical Statistics - gebruikt boek

ISBN: 9048155053

It is well known that contemporary mathematics includes many disci plines. Among them the most important are: set theory, algebra, topology, geometry, functional analysis, probability the… Meer...

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ISBN: 9789048155057

It is well known that contemporary mathematics includes many disci­ plines. Among them the most important are: set theory, algebra, topology, geometry, functional analysis, probabili… Meer...

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ISBN: 9789048155057

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Geometric Aspects of Probability Theory and Mathematical Statistics - pocketboek

2000, ISBN: 9048155053

gebonden uitgave

Geometric Aspects of Probability Theory and Mathematical Statistics ab 128.49 EURO Softcover reprint of hardcover 1st ed. 2000 Medien > Bücher

Nr. 13446936. Verzendingskosten:, , DE. (EUR 0.00)

Bijzonderheden over het boek
Geometric Aspects of Probability Theory and Mathematical Statistics

This book demonstrates the usefulness of geometric methods in probability theory and mathematical statistics, and shows close relationships between these disciplines and convex analysis. Deep facts and statements from the theory of convex sets are discussed with their applications to various questions arising in probability theory, mathematical statistics, and the theory of stochastic processes. The book is essentially self-contained, and the presentation of material is thorough in detail. Audience: The topics considered in the book are accessible to a wide audience of mathematicians, and graduate and postgraduate students, whose interests lie in probability theory and convex geometry.

Gedetalleerde informatie over het boek. - Geometric Aspects of Probability Theory and Mathematical Statistics


EAN (ISBN-13): 9789048155057
ISBN (ISBN-10): 9048155053
Gebonden uitgave
pocket book
Verschijningsjaar: 2010
Uitgever: Springer-Verlag GmbH
316 Bladzijden
Gewicht: 0,480 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2011-06-06T19:55:14+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2021-06-13T00:02:02+02:00 (Amsterdam)
ISBN/EAN: 9789048155057

ISBN - alternatieve schrijfwijzen:
90-481-5505-3, 978-90-481-5505-7


Gegevens van de uitgever

Auteur: V.V. Buldygin; A.B. Kharazishvili
Titel: Mathematics and Its Applications; Geometric Aspects of Probability Theory and Mathematical Statistics
Uitgeverij: Springer; Springer Netherland
304 Bladzijden
Verschijningsjaar: 2010-12-09
Dordrecht; NL
Gedrukt / Gemaakt in
Gewicht: 0,781 kg
Taal: Engels
128,39 € (DE)
131,99 € (AT)
141,50 CHF (CH)
POD

BC; Previously published in hardcover; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Dimension; Gaussian process; Grad; Probability theory; distribution; mathematical statistics; statistics; stochastic processes; C; Probability Theory and Stochastic Processes; Statistics, general; Convex and Discrete Geometry; Measure and Integration; Functional Analysis; Probability Theory; Statistics; Convex and Discrete Geometry; Measure and Integration; Functional Analysis; Mathematics and Statistics; Stochastik; Wahrscheinlichkeitsrechnung und Statistik; Algebraische Geometrie; Diskrete Mathematik; Integralrechnung und -gleichungen; Funktionalanalysis und Abwandlungen; BB

Preface. 1. Convex sets in vector spaces. 2. Brunn-Minkowski inequality. 3. Convex polyhedra. 4. Two classical isoperimetric problems. 5. Some infinite-dimensional vector spaces. 6. Probability measures and random elements. 7. Convergence of random elements. 8. The structure of supports of Borel measures. 9. Quasi-invariant probability measures. 10. Anderson inequality and unimodal distributions. 11. Oscillation phenomena and extensions of measures. 12. Comparison principles for Gaussian processes. 13. Integration of vector-valued functions and optimal estimation of stochastic processes. Appendices. Bibliography. Subject Index.

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