Monte Carlo Evaluation of the Uncertainty in a Calibrated Instrument

dc.contributor.authorLira Canguilhem, Ignacio
dc.date.accessioned2022-05-17T15:57:20Z
dc.date.available2022-05-17T15:57:20Z
dc.date.issued2019
dc.description.abstractA Monte Carlo procedure is presented for computing the joint state-of-knowledge probability distribution to be assigned to the parameters of a calibration function. The procedure is fully in line with the approach in Supplement 1 to the Guide to the Expression of Uncertainty in Measurement. It consists of propagating the joint probability distribution of the calibration quantities through the mathematical model of the measurement by which the parameters are defined. Usually this model is derived from a least-squares adjustment procedure. When the instrument is in use, we desire to obtain the probability distribution for the stimulus that corresponds to an indicated response. This goal can be accomplished by propagating the distributions for the parameters of the calibration curve, together with the distribution of the indicated response.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/CAOL46282.2019.9019501
dc.identifier.isbn978-1728118147
dc.identifier.issn2160-1534
dc.identifier.urihttps://doi.org/10.1109/CAOL46282.2019.9019501
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9019501
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/64073
dc.information.autorucEscuela de Ingeniería ; Lira Canguilhem, Ignacio ; S/I ; 99450
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofIEEE International Conference on Advanced Optoelectronics and Lasers (8° : 2019 : Sozopol, Bulgaria)
dc.rightsacceso restringido
dc.subjectCalibration
dc.subjectUncertainty
dc.subjectProbability distribution
dc.subjectStandards
dc.subjectMonte Carlo methods
dc.subjectMathematical model
dc.subjectInstruments
dc.titleMonte Carlo Evaluation of the Uncertainty in a Calibrated Instrumentes_ES
dc.typecomunicación de congreso
sipa.codpersvinculados99450
Files