Marek Capinski, Kopp (Peter) Ekkehard

Measure, Integral and Probability (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer London
• Seitenzahl: 227
• Erscheinungstermin: 29. Juni 2013
• Englisch
• ISBN-13: 9781447136316
• Artikelnr.: 44000339