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Eingeladener Vortrag
- nein (14)
The 'uncertainty matrix', i.e. the variance/covariance matrix associated with a set of values obtained by measurement of multiple measurands, is discussed as the multivariate analogue of the standard uncertainty (or rather the variance) of a value obtained for a single measurand. The main topics are the characterization and comparison of uncertainty matrices with respect to the level of uncertainty of derived quantities and the level of correlation effects on the uncertainty of derived quantities. Examples include a comprehensive application study on the normalization of natural gas composition data. Supplementary technical material such as basic properties of uncertainty matrices and mathematical proofs are included in an appendix.
Reference Procedures
(2006)
Kalibrierunsicherheit
(2005)
The analytical methods mass spectrometry, UV/Vis, IR, Raman, Fluorometry, XRD, Mössbauer, and NMR used to elucidate chemical structure are evaluated regarding their capabilities to be used as primary analytical techniques in quantitative measurements, considering the criteria in the CCQM definition of primary methods. This includes a review of the respective measurement equations, the evaluation of the measurement uncertainty, and a discussion of evidence for the highest metrological level, as obtained from intercomparisons in contest with other methods. It is shown that only few methods fulfill the CCQM criteria. Quantitative NMR spectroscopy is one of them and may be considered as a potential primary method as recommended by CCQM because of being free of empirical factors in the uncertainty budget.