Real analysis and probability
Material type:
TextPublication details: New York : Cambridge University Press, 1989. Description: xi, 436 p. ; 24 cmISBN: 9780367412265Subject(s): Mathematical analysis | Functions of real variables | ProbabilitiesDDC classification: 517.51 Online resources: Table of contents | Reviews Summary: Written by one of the best-known probabilists in the world this text offers a clear and modern presentation of modern probability theory and an exposition of the interplay between the properties of metric spaces and those of probability measures. This text is the first at this level to include discussions of the subadditive ergodic theorems, metrics for convergence in laws and the Borel isomorphism theory. The proofs for the theorems are consistently brief and clear and each chapter concludes with a set of historical notes and references. This book should be of interest to students taking degree courses in real analysis and/or probability theory.
| Item type | Current library | Call number | Status | Date due | Barcode |
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Book
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NISER LIBRARY | 517.51 DUD-R (Browse shelf(Opens below)) | Available | 25634 |
Includes bibliographical references and index.
Written by one of the best-known probabilists in the world this text offers a clear and modern presentation of modern probability theory and an exposition of the interplay between the properties of metric spaces and those of probability measures. This text is the first at this level to include discussions of the subadditive ergodic theorems, metrics for convergence in laws and the Borel isomorphism theory. The proofs for the theorems are consistently brief and clear and each chapter concludes with a set of historical notes and references. This book should be of interest to students taking degree courses in real analysis and/or probability theory.
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