Measure, integral and probability / by Marek Capiński and Ekkehard Kopp.
Material type: TextSeries: Springer undergraduate mathematics seriesPublication details: London ; New York : Springer, c2004Edition: 2nd edDescription: xv, 311 p. ; 23 cmISBN: 9781852337810 (pbk)Subject(s): Measure theory | Integrals, Generalized | ProbabilitiesDDC classification: 515.42 Online resources: Publisher description | Table of contents onlyItem type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | Namal Library Mathematics | 515.42 CAP-M 2004 10615 (Browse shelf (Opens below)) | 1 | Available | 0010615 |
Includes bibliographical references ( p. 305) and index.
1. Motivation and preliminaries --
2. Measure --
3. Measurable functions --
4. Integral --
5. Spaces of integrable functions --
6. Product measures --
7. The Radon-Nikodym theorem --
8. Limit theorems --
Solutions --
Appendix --
References --
Index.
"Measure, Integral and Probability is a introduction that makes measure and integration theory accessible to the average third-year undergraduate student. The ideas are developed at an easy pace in a form that is suitable for self-study, with an emphasis on clear explanations and concrete examples rather than abstract theory."--Jacket.
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