Measure, integral and probability / by Marek Capiński and Ekkehard Kopp.

By: Capiński, Marek, 1951-Contributor(s): Kopp, P. E, 1944-Material type: TextTextSeries: 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 only
Contents:
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.
Summary: "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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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Books Books Namal Library
Mathematics
515.42 CAP-M 2004 10615 (Browse shelf (Opens below)) 1 Available 0010615
Total holds: 0

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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