Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD point 990 Ft DPD courier 1 190 Ft GLS point 1 190 Ft Hungarian Post 1 795 Ft Hungarian Post 1 690 Ft Hungarian Post 1 690 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft GLS courier 1 690 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Measure, Integral and Probability

Name: Measure, Integral and Probability
Brand: Springer London Ltd
SKU: 04296766
Price: 12842 HUF
Availability: InStock
Author: Marek Capinski
ISBN: 9781852337810

Marek Capinski

Language

English

Book Paperback

Libristo code: 04296766

Publishers Springer London Ltd, April 2004

Measure, Integral and Probability is a gentle introduction that makes measure and integration theory... Full description

Libristo code: 04296766

86 b

Top

12 842 Ft

In stock at our supplier Shipping in 5-8 days

Up to 30 days for returns

Customers also purchased

Probability Essentials Jean Jacod

Paperback

25 560 Ft

Bourgery: Atlas of Human Anatomy and Surgery Henri Sick

Hardback

7 886 Ft

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.