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Probability Via Expectation by Peter Whittle (Paperback, 2012)
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item 1 - Probability Via Expectation, Peter Whittle
AU $145.12 Buy It Now
item 2 - Probability Via Expectation (Springer Texts in Statistics) Peter Whittle
AU $172.69 Buy It Now
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About this product
Description
- DescriptionThis book has exerted a continuing appeal since its original publication in 1970. It develops the theory of probability from axioms on the expectation functional rather than on probability measure, demonstrates that the standard theory unrolls more naturally and ecomically this way, and that applications of real interest can be addressed almost immediately. A secondary aim of the original text was to introduce fresh examples and convincing applications, and that aim is continued in this edition, a general revision plus the addition of chapters giving an ecomical introduction to dynamic programming, that is then applied to the allocation problems represented by portfolio selection and the multi-armed bandit. The investment theme is continued with a critical investigation of the concept of risk-free'trading and the associated Black-Sholes formula, while ather new chapter develops the basic ideas of large deviations. The book may be seen as an introduction to probability for students with a basic mathematical facility, covering the standard material, but different in that it is unified by its theme and covers an unusual range of modern applications.
Key Features
- Author(s)Peter Whittle
- PublisherSpringer-Verlag New York Inc.
- Date of Publication27/09/2012
- LanguageEnglish
- FormatPaperback
- ISBN-101461267951
- ISBN-139781461267959
- SubjectMathematics
- Series TitleSpringer Texts in Statistics
Publication Data
- Place of PublicationNew York, NY
- Country of PublicationUnited States
- ImprintSpringer-Verlag New York Inc.
- Content Notebiography
Dimensions
- Weight581 g
- Width155 mm
- Height235 mm
- Spine19 mm
Editorial Details
- Format DetailsTrade paperback (US)
- Edition Statement4th ed. 2000. Softcover reprint of the original 4th ed. 2000
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