Name
Abstract | ||
|---|---|---|
One of the key points in modern measurement science is the evaluation of measurement uncertainty, according to the definition given by the International Vocabulary of Metrology (VIM) [1] and the procedure recommended by the Guide to the Expression of Uncertainty in Measurement (GUM) and its supplements [2]-[4]. According to these documents, when several sources of uncertainty are present, the related standard uncertainties shall be quadratically combined, and the covariances must be considered, if present [2]. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/MIM.2016.7777646 | IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE |
Keywords | Field | DocType |
Performance evaluation,Measurement uncertainty,Current measurement,Temperature measurement,Thickness measurement,Electrical resistance measurement | Data mining,Mathematical optimization,Quadratic growth,Metrology,Sensitivity analysis,Measurement uncertainty,Uncertainty analysis,Control engineering,Engineering,Vocabulary,Covariance | Journal |
Volume | Issue | ISSN |
19 | 6 | 1094-6969 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christopher DuBois | 1 | 0 | 0.34 |
| Laurent Leblond | 2 | 0 | 0.68 |
| Jean-Michel Pou | 3 | 0 | 0.68 |
| A. Ferrero | 4 | 376 | 88.12 |