Measure Integral Probability by Capinski Marek (36 results)
Language: English
Published by Springer (edition 2nd), 2004
- Softcover
Seller: BooksRun, Philadelphia, PA, U.S.A.BooksRun
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Paperback. Condition: Fair. 2nd. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
Language: English
Published by Springer, 2004
- Softcover
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Language: English
Published by Springer, 2004
- Softcover
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Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Language: English
Published by Springer London, Limited, 2004
- Softcover
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Condition: Good. 2nd. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Language: English
Published by Secaucus, New Jersey, U.S.A.: Springer Verlag, 1999
- Softcover
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Condition: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.
Language: English
Published by Springer London, Limited, 2004
- Softcover
Seller: Better World Books Ltd, Dunfermline, United KingdomBetter World Books Ltd
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Condition: Good. 2nd. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Language: English
Published by Springer, 2008
- Softcover
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.Zubal-Books, Since 1961
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Condition: Fine. *Price HAS BEEN REDUCED by 10% until Monday, Aug. 24 (weekend SALE item)* second edition; 312 pp., paperback, fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fee…s required by recipient's country.
Language: English
Published by New York, Springer., 1999
- Softcover
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Published 1999 for the third-year undergraduate student. -- Softcover. Condition: very good. ISBN 3540762604.
Language: English
Published by Springer, 2004
- Softcover
Seller: Pulpfiction Books, Vancouver, BC, CanadaPulpfiction Books
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Soft cover. Condition: Very Good. 2nd Edition. Near Fine- to Very Good+ lightly rubbed and creased trade paperback.
Language: English
Published by Springer, 2004
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Springer, 2004
- Softcover
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Language: English
Published by Springer London Ltd, England, 2004
- Softcover
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Paperback. Condition: new. Paperback. 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 concr…ete 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. Provides an introduction to measure and integration theory. This book features 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Springer, 2004
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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Condition: New.
Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1998
- Softcover
Seller: WeBuyBooks, Rossendale, LANCS, United KingdomWeBuyBooks
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paperback. Condition: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.
More imagesLanguage: English
Published by Springer, 2000
- Softcover
Seller: Books & Bobs, Deeside, FLINT, United KingdomBooks & Bobs
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Soft cover. Condition: Fine. As new copy. A tight, bright, and clean copy with no inscriptions and no annotations/notes. No creases to spine/cover or foxing to pages. Fantastic condition book. 227pp. (17x23.5cm). Please contact us for any more information.
Language: English
Published by Springer London Ltd, GB, 2004
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. Second Edition 2004. 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.
Language: English
Published by Springer, 2005
- Softcover
Seller: Anybook.com, Lincoln, United KingdomAnybook.com
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9781852337810.
Language: English
Published by Secaucus, New Jersey, U.S.A.: Springer Verlag, 1999
- Softcover
Seller: Rob the Book Man, Vancouver, WA, U.S.A.Rob the Book Man
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Soft cover. Condition: Fine. trade paperback in fine condition.
Language: English
Published by Springer, 2004
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In English.
Language: English
Published by Springer 2004-07, 2004
- Softcover
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PF. Condition: New.
Language: English
Published by Springer 7/20/2004, 2004
- Softcover
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.BargainBookStores
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Paperback or Softback. Condition: New. Measure, Integral and Probability. Book.
Language: English
Published by Springer, 2004
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: New.
Language: English
Published by Springer, 2004
- Softcover
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Condition: New. pp. 328 2nd Corrected Edition, 2nd Printing.
Language: English
Published by Springer, 2004
- Softcover
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Springer Verlag, 2004
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 2nd edition. 311 pages. 9.25x7.00x0.75 inches. In Stock.
Language: English
Published by Springer, 2004
- Softcover
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.BennettBooksLtd
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paperback. Condition: New. In shrink wrap. Looks like an interesting title.
Language: English
Published by Springer, 2004
- Softcover
Seller: The Book Spot, Sioux Falls, MN, U.S.A.The Book Spot
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Paperback. Condition: New.
Language: English
Published by Springer, Springer, 2004
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Language: English
Published by Springer London Ltd, England, 2004
- Softcover
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Paperback. Condition: new. Paperback. 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 concr…ete 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. Provides an introduction to measure and integration theory. This book features 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by Springer London Ltd, GB, 2004
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Paperback. Condition: New. Second Edition 2004. 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.
