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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...

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Detalles Bibliográficos
Autores principales: Baccigalupi, Carlo, Arpaia, Pasquale, Martino, Michele
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1748-0221/10/07/P07007
http://cds.cern.ch/record/2058750