Measure, Integral and Probability
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Book Overview
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.
Format:Paperback
Language:English
ISBN:1852337818
ISBN13:9781852337810
Release Date:August 2004
Publisher:Springer
Length:311 Pages
Weight:1.25 lbs.
Dimensions:0.6" x 6.8" x 9.1"
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