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£73.22
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£73 today · previous high £73 · all-time low £73
Springer Uncertainty Quantification and Predictive Computational Science Textbook
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Most common price: £73 (76 days, 100.0%)
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Description
Key Features
Covers fundamental probability, sampling, and Bayesian statistics essential for uncertainty analysis in computational science.
Teaches practical techniques for constructing sophisticated prediction models from basic mathematical building blocks.
Addresses uncertainty quantification across engineering and physical sciences applications requiring high-consequence decision-making.
Published by Springer with academic rigour suitable for both student learning and professional reference.
Bridges the knowledge gap between simulation tools and understanding how uncertainties affect predicted system behaviour.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 3319995243
- Domain
- Amazon UK
- Release Date
- 05 December 2018
- Listed Since
- 17 July 2018
Barcode
No barcode data available
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