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.
2015
XXI IMEKO World Congress, “Measurement in Research and Industry”
XXI IMEKO World Congress, “Measurement in Research and Industry”
Prague
August 30 - September 4, 2015
Carobbi, Carlo; Berni, Rossella
File in questo prodotto:
File Dimensione Formato  
IMEKO 2015 - Proficiency test data analysis.pdf

Accesso chiuso

Descrizione: IMEKO 2015 - Proficiency test data analysis.pdf
Tipologia: Pdf editoriale (Version of record)
Licenza: Tutti i diritti riservati
Dimensione 224.77 kB
Formato Adobe PDF
224.77 kB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1015495
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact