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£120.60
Springer Robustness in Econometrics - Studies in Computational Intelligence 692
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Description
Key Features
Robustness in Econometrics covers techniques designed to produce reliable results even when data contains significant outliers or irregularities.
This volume from Springer's Studies in Computational Intelligence series integrates traditional statistical methods with modern computational approaches.
The book applies robust data processing techniques to real-life economic and financial situations, demonstrating practical implementation strategies.
Readers learn forecasting methods for economic and financial dynamics using statistical approaches that enhance prediction accuracy and resilience.
The publication addresses both theoretical foundations and applied econometric problems relevant to contemporary financial analysis and economic modelling.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 3319507419
- Domain
- Amazon UK
- Release Date
- 20 February 2017
- Listed Since
- 09 November 2016
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