Description: Measure, Integral and Probability, Paperback by Capinski, Marek; Kopp, Ekkehard; Kopp, P. E., ISBN 1852337818, ISBN-13 9781852337810, Brand New, Free shipping in the US 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 modelling, including the Black-Scholes formula, discussed briefly from a measure-theoretical perspective to help the reader understand the underlying mathematical framework. In addition, further exercises and examples are provided to encourage the reader to become directly involved with the material.
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Book Title: Measure, Integral and Probability
Number of Pages: Xv, 311 Pages
Language: English
Publication Name: Measure, Integral and Probability
Publisher: Springer London, The Limited
Subject: Probability & Statistics / General, General, Applied, Mathematical Analysis
Publication Year: 2004
Features: Revised
Type: Textbook
Item Weight: 44.4 Oz
Author: Marek Capinski, Peter E. Kopp
Subject Area: Mathematics
Item Length: 10 in
Series: Springer Undergraduate Mathematics Ser.
Item Width: 7 in
Format: Trade Paperback
