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Paperback. Zustand: Very Good. 1st. 1st thus printing; 71 clean, unmarked pages.

No jacket. Zustand: Très bon. Ancien livre de bibliothèque. Sans jaquette. Couverture différente. Edition 1987. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. No dust jacket. Different cover. Edition 1987. Ammareal gives back up to 15% of this item's net price to charity organizations.

Zustand: Fine. 196 pp., Paperback, faint soiling to fore edge else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

XII/338 S./pp., Originalpappband (publisher's cardboard covers), Bibliotheksexemplar in gutem Zustand / exlibrary in good condition (Stempel auf Titel / title stamped, Rückenschildchen / lettering pannel to the spine, Block sehr gut / contents fine, keine Unterstreichungen oder Anstreichungen / no underlining or remarks, in Folie eingeschlagen / wrapped up in foil), (Grundlehren der mathematischen Wissenschaften 233), Sprache: englisch.

Zustand: New.

Zustand: New. pp. 272 3rd Edition.

paperback. Zustand: New. In shrink wrap. Looks like an interesting title!

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2016-07-01 Publisher: world book publishing company Through the book focuses on the analysis method of the modern theory of probability and the complementary relationship between analysis tool. a modern theory of probability are introduced in detail.Version 2 of the exercises more than 750. and the process of Levy. large deviation theory. Gauss on Banach Spaces.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The choice of topics included in this book, as well as the presentation of those topics, has been guided by the author's experience in teaching this material to classes consisting of advanced graduate students who are not concentrating in mathematics. This book contains an introduction to the modern theory of integration with a strong emphasis on the case of LEBESGUE's measure for (RN and eye toward applications to real analysis and probability theory. Following a brief review of the classical RIEMANN theory in Chapter I, the details of LEBESGUE's construction are given in Chapter II, which also contains a derivation of the transformation properties of LEBESGUE's measure under linear maps. Chapter III is devoted to LEBESGUE's theory of integration of real-valued functions on a general measure space. Besides the basic convergence theorems, this chapter introduces product measures and FUBINI's Theorem. In Chapter IV, various topics having to do with the transformation properties of measures are derived. These include: the representation of general integrals in terms of RIEMANN integrals with respect to the distribution function, polar coordinates, JACOBI's transformation formula and finally the introduction of surface measure followed by a proof of the Divergence Theorem. A few of the basic inequalitites of measure theory are derived in Chapter V. In particular, the inequalities of JENSEN, MINKOWSKI and HÖLDER are presented. Finally, Chapter VI starts with the DANIELL integral and its applications to the CARATHÉODORY Extension and RIESZ Representation Theorems. It closes with VON NEUMANN's derivation of the RADON-NIKODYM Theorem.