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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Measure, Integral and Probability

Measure, Integral and Probability

Capinski, Marek
Kopp, Peter E.

Paperback

Series: Springer Undergraduate Mathematics

CalculusGeneral MathematicsProbability & Statistics

ISBN10: 1852337818
ISBN13: 9781852337810
Publisher: Springer Nature
Published: Aug 27 2004
Pages: 311
Weight: 1.14
Height: 0.61 Width: 6.84 Depth: 9.10
Language: English
Measure, Integral and Probability is a gentle 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. For this second edition, the text has been thoroughly revised and expanded. New features include: - a substantial new chapter, featuring a constructive proof of the Radon-Nikodym theorem, an analysis of the structure of Lebesgue-Stieltjes measures, the Hahn-Jordan decomposition, and a brief introduction to martingales - key aspects of financial modeling, discussed briefly from a measure-theoretical perspective to help the reader understand the underlying mathematical framework.

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