Measure, Integral and Probability (inbunden)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Serie
Springer Undergraduate Mathematics Series
Antal sidor
311
Utgivningsdatum
2004-08-27
Upplaga
2
Förlag
Springer London Ltd
Dimensioner
235 x 180 x 13 mm
Vikt
520 g
ISBN
9781852337810

Measure, Integral and Probability

av Marek Capinski, Peter E Kopp
Häftad,  Engelska, 2004-08-27
454
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Finns även som
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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