The Bayesian analysis of a series of correlated indications of an unknown quantity is here presented when they are modelled by a joint Gaussian distribution and their covariance is assumed to be the (known) squared uncertainty associated with a systematic effect common to all the indications. An interesting application of the obtained results to the conformity assessment of a series production is also presented. A criterion is derived so that at least a portion p1 of the series production shows to have a characteristic value below a prescribed limit, with a probability not less than p2.

Bayesian analysis of repeated measurements affected by a systematic error and its application to conformity assessment / Carobbi, C.; Pennecchi, F.. - (2015), p. 1947. ((Intervento presentato al convegno 21st IMEKO World Congress on Measurement in Research and Industry tenutosi a Prague Congress Centre, Prague, Czech Republic nel 30 August 2015 through 4 September 2015.

Bayesian analysis of repeated measurements affected by a systematic error and its application to conformity assessment

Pennecchi F.
2015

Abstract

The Bayesian analysis of a series of correlated indications of an unknown quantity is here presented when they are modelled by a joint Gaussian distribution and their covariance is assumed to be the (known) squared uncertainty associated with a systematic effect common to all the indications. An interesting application of the obtained results to the conformity assessment of a series production is also presented. A criterion is derived so that at least a portion p1 of the series production shows to have a characteristic value below a prescribed limit, with a probability not less than p2.
21st IMEKO World Congress on Measurement in Research and Industry
30 August 2015 through 4 September 2015
Prague Congress Centre, Prague, Czech Republic
reserved
File in questo prodotto:
File Dimensione Formato  
IMEKO-0550_fullpaper.pdf

non disponibili

Descrizione: Articolo principale
Tipologia: Versione editoriale
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 281.32 kB
Formato Adobe PDF
281.32 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

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: http://hdl.handle.net/11696/64330
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact