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Geometric Aspects of Probability Theory and Mathematical Statistics - A. B. Kharazishvili
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Geometric Aspects of Probability Theory and Mathematical Statistics - libro nuevo

ISBN: 9780792364139

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Geometric Aspects of Probability Theory and Mathematical Statistics - encuadernado, tapa blanda

2000, ISBN: 0792364139

[EAN: 9780792364139], Neubuch, [SC: 0.0], [PU: Springer Netherlands], DIMENSION; GAUSSIANPROCESS; GRAD; PROBABILITYTHEORY; DISTRIBUTION; MATHEMATICALSTATISTICS; STOCHASTICPROCESSES, Druck… Más…

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Geometric Aspects of Probability Theory and Mathematical Statistics - Kharazishvili, A. B.; Buldygin, V. V.
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Kharazishvili, A. B.; Buldygin, V. V.:
Geometric Aspects of Probability Theory and Mathematical Statistics - encuadernado, tapa blanda

2000

ISBN: 0792364139

2000 Gebundene Ausgabe Diskrete Mathematik, Integralrechnung und -gleichungen, Geometrie, Wahrscheinlichkeitsrechnung und Statistik, Stochastik, Dimension; Gaussianprocess; Grad; Probab… Más…

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V.V. Buldygin/ A.B. Kharazishvili:
Geometric Aspects of Probability Theory and Mathematical Statistics - Pasta blanda

2000, ISBN: 9780792364139

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Geometric Aspects of Probability Theory and Mathematical Statistics - Buldygin, V.V.
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Buldygin, V.V.:
Geometric Aspects of Probability Theory and Mathematical Statistics - encuadernado, tapa blanda

ISBN: 9780792364139

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Detalles del libro
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.

Detalles del libro - Geometric Aspects of Probability Theory and Mathematical Statistics


EAN (ISBN-13): 9780792364139
ISBN (ISBN-10): 0792364139
Tapa dura
Tapa blanda
Año de publicación: 2000
Editorial: Springer Netherlands
324 Páginas
Peso: 0,649 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2008-02-11T06:41:57-06:00 (Mexico City)
Página de detalles modificada por última vez el 2023-07-19T06:02:27-06:00 (Mexico City)
ISBN/EAN: 0792364139

ISBN - escritura alterna:
0-7923-6413-9, 978-0-7923-6413-9
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: geometric, valery, cardinal
Título del libro: geometric aspects probability theory mathematical statistics, applications probability, mathematics statistics, probability and statistics, aspects the novel, probability course, mathematical statistics volume


Datos del la editorial

Autor: V.V. Buldygin; A.B. Kharazishvili
Título: Mathematics and Its Applications; Geometric Aspects of Probability Theory and Mathematical Statistics
Editorial: Springer; Springer Netherland
304 Páginas
Año de publicación: 2000-08-31
Dordrecht; NL
Idioma: Inglés
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
X, 304 p.

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

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.- Appendix 1: Some properties of convex curves.- Appendix 2: Convex sets and number theory.- Appendix 3: Measurability of cardinals.

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