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£120.83
Springer Essentials of Monte Carlo Simulation - Statistical Methods Book
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Description
Key Features
Essentials of Monte Carlo Simulation covers 11 comprehensive chapters on statistical methods and simulation fundamentals.
The book focuses on computer simulation techniques designed specifically for systems too complex to solve using analytical methods.
Readers learn to construct algorithmic models and write computer code that accurately emulates internal system behaviour.
Published by Springer, this text combines theoretical foundations with practical applications for building and validating simulation models.
The Monte Carlo methods presented enable random sampling and statistical analysis of multiple simulation outputs.
This resource teaches ordinary statistical methods for analysing data generated from repeated simulation runs.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 1489986081
- Domain
- Amazon UK
- Release Date
- 28 January 2015
- Listed Since
- 29 January 2015
Barcode
No barcode data available
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