The JCGM 106:2012 document provides guidelines on how to perform conformity assessment of a (scalar) property of interest of a single item (a product, material, object, etc.). In particular, based on a Bayesian approach, it indicates how to model and calculate specific and global risks of the consumer and the producer. In the present work, the JCGM 106 approach is generalized to items that are multicomponent materials (each component having its own property that should undergo conformity assessment with respect to its own requirements), and to a set of N items drawn from a common population (the probability of having a certain number of conforming items within this sample needs to be calculated).

Extension of the JCGM 106:2012 - Conformity assessment of multicomponent items and finite statistical samples / Pennecchi, FRANCESCA ROMANA; Kuselman, Ilya. - (2022), pp. 153-159. (Intervento presentato al convegno IES 2022 - Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment (IASC Endorsed Event) tenutosi a Capua, Italia nel 27-28/1/2022).

Extension of the JCGM 106:2012 - Conformity assessment of multicomponent items and finite statistical samples

Francesca Pennecchi
;
2022

Abstract

The JCGM 106:2012 document provides guidelines on how to perform conformity assessment of a (scalar) property of interest of a single item (a product, material, object, etc.). In particular, based on a Bayesian approach, it indicates how to model and calculate specific and global risks of the consumer and the producer. In the present work, the JCGM 106 approach is generalized to items that are multicomponent materials (each component having its own property that should undergo conformity assessment with respect to its own requirements), and to a set of N items drawn from a common population (the probability of having a certain number of conforming items within this sample needs to be calculated).
2022
IES 2022 - Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment (IASC Endorsed Event)
27-28/1/2022
Capua, Italia
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11696/75560
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