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Type-A Worst-Case Uncertainty for Gaussian noise instruments
An analytical type-A approach is proposed for predicting the Worst-Case Uncertainty of a measurement system. In a set of independent observations of the same measurand, modelled as independent- and identically-distributed random variables, the upcoming extreme values (e.g. peaks) can be forecast by...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2015
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1748-0221/10/07/P07007 http://cds.cern.ch/record/2058750 |