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£38.05
Springer Probability and Stochastics: 261 Mathematics Text
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Description
Key Features
Covers fundamental probability theory including measure and integration, probability spaces, and conditional expectations.
Provides in-depth analysis of classical limit theorems to build a strong mathematical foundation.
Focuses on the theory of stochastic processes with specific attention to practical applications.
Explores advanced mathematical topics such as martingales, Poisson random measures, and Levy Processes.
Includes detailed coverage of Brownian motion for advanced study in stochastics.
Uses a teaching style that introduces problems in everyday language before applying precise mathematical forms.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 0387878580
- Domain
- Amazon UK
- Release Date
- 25 February 2011
- Listed Since
- 01 September 2008
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