For estimating the effects of a number of systematic errors on a data sample, one can generate Monte Carlo (MC) runs with systematic parameters varied and examine the change in the desired observed result. Two methods are often used. In the unisim method, 1 the systematic parameters are varied one a
โฆ LIBER โฆ
Statistical and systematic errors in Monte Carlo sampling
โ Scribed by Alan M. Ferrenberg; D. P. Landau; K. Binder
- Book ID
- 105044238
- Publisher
- Springer
- Year
- 1991
- Tongue
- English
- Weight
- 745 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0022-4715
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