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dc.contributor.editorSalicone, Simona
dc.date.accessioned2023-06-23T09:51:30Z
dc.date.available2023-06-23T09:51:30Z
dc.date.issued2023
dc.identifierONIX_20230623_9783036566085_127
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/100895
dc.description.abstractThis reprint focuses on a very important topic in metrology, which is represent by measurement uncertainty. Any good metrologist or scientist in engineering knows that no measurement makes sense without an associated uncertainty value: without an uncertainty value, no decision can be taken; no comparisons can be made; no conformity can be assessed. Any decision, comparison or conformity assessment made without considering the measurement uncertainty affecting the measurement value is completely useless and meaningless. Stated that, it becomes very clear that uncertainty in measurement plays indeed a very important rule in our everyday life. This is the reason why there is a great need to have a fruitful academic and scientific discussion on this topic. We have been speaking about measurement uncertainty for less than 30 years, since the concept of “measurement uncertainty” has been introduced in 1995 by the “Guide to the expression of uncertainty in measurement” (GUM). Thirty years seems to be many, but still the concept of measurement uncertainty has not been spread worldwide and the GUM is a document that is not known everywhere. On the other hand, this document should be considered not only in academic scenario, but also in any technical and industrial scenario, where it is pivotal to know the meaning of measurement uncertainty, identify the uncertainty contributions and know how these contributions affect the final measurement result.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.otherrandom-fuzzy variables
dc.subject.otherKalman filter
dc.subject.othersystematic uncertainty contributions
dc.subject.otherstyling
dc.subject.othermeasurement uncertainty
dc.subject.otherrandom contribution
dc.subject.othersystematic contribution
dc.subject.otherprobability density functions
dc.subject.otherpossibility distributions
dc.subject.othert-norms
dc.subject.othermeasuring bridge
dc.subject.othercalibration
dc.subject.othernon-conventional instrument transformer
dc.subject.othersampled values
dc.subject.otherdigital output
dc.subject.othersynchronization
dc.subject.otherdigitalization
dc.subject.othermetrological traceability
dc.subject.otherkey comparison
dc.subject.otherdigital calibration certificate
dc.subject.otheruncertain number
dc.subject.othermetrology
dc.subject.othernuclear data
dc.subject.otherdata evaluation
dc.subject.othersystematic distortion factor
dc.subject.otherunrecognized source of uncertainties
dc.subject.otherDCC
dc.subject.othermachine-readable
dc.subject.otherdata communication
dc.subject.otheruncertainty
dc.subject.otherMonte Carlo method
dc.subject.otherMCM
dc.subject.otherguide to the expression of uncertainty in measurement
dc.subject.othermeasurement modelling
dc.subject.otheruncertainty propagation
dc.subject.otherinformation fusion
dc.subject.otherpossibility theory
dc.subject.otherinformation fusion system design
dc.subject.otherdigital signal processing
dc.subject.otherspectral resolution
dc.subject.otherfrequency domain analysis
dc.subject.otherfrequency–domain interpolation
dc.subject.otherfrequency uncertainty
dc.subject.otheruncertainty assessment
dc.subject.otherthree-dimensional point clouds
dc.subject.otherISO 15530
dc.subject.otherdata-driven metrology
dc.subject.othermodel-based definition
dc.subject.othervirtual twin
dc.subject.otherbayesian modeling
dc.subject.otherHamiltonian Monte Carlo
dc.subject.otherdiagnostic uncertainty
dc.subject.otherexpert opinion data
dc.subject.otherverbal probability
dc.subject.othern/a
dc.subject.otherTsallis q-Gaussian distribution
dc.subject.othercharacteristic function
dc.subject.othernumerical inversion
dc.subject.otherlinear measurement model
dc.titleMeasurement Uncertainty
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-6609-2
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036566085
oapen.relation.isbn9783036566092
oapen.pages202
oapen.place.publicationBasel


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