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
Statistical model of systematic errors: linear error model
โ Scribed by E.B. Rudnyi
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 978 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0169-7439
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