Determining the degree of equivalence of participating laboratories from the results of measurement comparisons still prompts discussions among metrologists, especially where measurement uncertainties have been underestimated. This paper expands on a solution to a problem issued in 2020 by the Journal of Analytical and Bioanalytical Chemistry. The example illustrates an approach to consensus-building based on Bayesian selection among statistical models that attempt to explain the excess of data variation. The probability of any further model being correct can be similarly calculated.

Interlaboratory consensus building / Mana, G. - In: METROLOGIA. - ISSN 0026-1394. - 58:5(2021), p. 055002. [10.1088/1681-7575/ac0ea2]

Interlaboratory consensus building

Mana, G
2021

Abstract

Determining the degree of equivalence of participating laboratories from the results of measurement comparisons still prompts discussions among metrologists, especially where measurement uncertainties have been underestimated. This paper expands on a solution to a problem issued in 2020 by the Journal of Analytical and Bioanalytical Chemistry. The example illustrates an approach to consensus-building based on Bayesian selection among statistical models that attempt to explain the excess of data variation. The probability of any further model being correct can be similarly calculated.
File in questo prodotto:
File Dimensione Formato  
challenge_IOP_20210615.pdf

accesso aperto

Tipologia: Documento in Pre-print
Licenza: Pubblico - Tutti i diritti riservati
Dimensione 432.3 kB
Formato Adobe PDF
432.3 kB Adobe PDF Visualizza/Apri

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

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11696/71892
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 4
social impact