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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.
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Previews available in: English
Subjects
Convex domains, Geometric probabilities, Probability & statistics, Stochastics, Probabilities, Functional Analysis, Mathematics, Science/Mathematics, Probability & Statistics - General, General, Mathematics / Statistics, Distribution (Probability theory), Discrete groups, Statistics, Probability Theory and Stochastic Processes, Statistics, general, Convex and Discrete Geometry, Measure and IntegrationShowing 4 featured editions. View all 4 editions?
Edition | Availability |
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1
Geometric Aspects of Probability Theory and Mathematical Statistics
2013, Springer
in English
9401716870 9789401716871
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2
Geometric Aspects of Probability Theory and Mathematical Statistics
2010, Springer London, Limited
in English
9048155053 9789048155057
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3
Geometric Aspects of Probability Theory and Mathematical Statistics (MATHEMATICS AND ITS APPLICATIONS Volume 514) (Mathematics and Its Applications)
June 1, 2000, Springer
Hardcover
in English
- 1 edition
0792364139 9780792364139
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4
Geometric aspects of probability theory and mathematical statistics
2000, Kluwer Academic
in English
0792364139 9780792364139
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Book Details
Edition Notes
Includes bibliographical references (p. 287-300) and index.
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- Created October 11, 2008
- 9 revisions
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August 25, 2024 | Edited by MARC Bot | import existing book |
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