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£105.94
Springer - Discretization of Processes: 67 (Stochastic Modelling)
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Description
Key Features
Provides a theoretical foundation for estimating the underlying structure of proposed models rather than just scalar parameters.
Addresses the needs of researchers in mathematical finance and other fields involving random time-dependent events.
Utilizes classic statistical tools, including the law of large numbers, to support model estimation.
Part of the Stochastic Modelling and Applied Probability series (Volume 67) from Springer.
Focuses on justifying model assumptions through the practical application of data.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3642269508
- Domain
- Amazon UK
- Publication Date
- 28 November 2013
- Listed Since
- 01 November 2013
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