Measurement results provided by laboratories involved in interlaboratory comparisons are processed in order to obtain the reference value of the quantity under measurement and its uncertainty. Measurement results are also compared with the reference value and its uncertainty in order to assess participants performance. Standards procedures are available in order to statistically process the measured values resulting from interlaboratory comparisons, such as those described in [1]. Unfortunately these procedures do not take into account the measurement uncertainty that each participant is required to declare. Well established statistical methods, such as errors measurement models, are however available that permit to statistically process both the measured values and their uncertainty, and therefore to fully evaluate the dispersion effects involved in the interlaboratory comparison activity.
ALTERNATIVE STATISTICAL ANALYSIS OF INTERLABORATORY COMPARISON MEASUREMENT RESULTS / Carobbi, Carlo; Berni, Rossella. - ELETTRONICO. - (2015), pp. 0-4. (Intervento presentato al convegno XXI IMEKO World Congress, “Measurement in Research and Industry” tenutosi a Prague nel August 30 - September 4, 2015).
ALTERNATIVE STATISTICAL ANALYSIS OF INTERLABORATORY COMPARISON MEASUREMENT RESULTS
CAROBBI, CARLO;BERNI, ROSSELLA
2015
Abstract
Measurement results provided by laboratories involved in interlaboratory comparisons are processed in order to obtain the reference value of the quantity under measurement and its uncertainty. Measurement results are also compared with the reference value and its uncertainty in order to assess participants performance. Standards procedures are available in order to statistically process the measured values resulting from interlaboratory comparisons, such as those described in [1]. Unfortunately these procedures do not take into account the measurement uncertainty that each participant is required to declare. Well established statistical methods, such as errors measurement models, are however available that permit to statistically process both the measured values and their uncertainty, and therefore to fully evaluate the dispersion effects involved in the interlaboratory comparison activity.File | Dimensione | Formato | |
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IMEKO 2015 - Proficiency test data analysis.pdf
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