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Monte Carlo simulation is a crucial tool across scientific disciplines, relying on the generation of pseudorandom numbers that mimic true randomness. The book delves into the methodologies for producing these numbers and discusses their transformation to simulate samples from diverse distributions. Key topics include the statistical tests that validate the effectiveness of pseudorandom sequences, emphasizing their significance in statistical computing and the broader implications for scientific research.
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Random Number Generation and Monte Carlo Methods, James E. Gentle
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- Année de publication
- 2010
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