NF ISO 21748

NF ISO 21748

December 2010
Standard Cancelled

Guidance for the use of repeatability, reproducibility and trueness estimates in measurement uncertainty estimation

ISO 21748:2010 gives guidance for evaluation of measurement uncertainties using data obtained from studies conducted in accordance with ISO 5725-2:1994; comparison of collaborative study results with measurement uncertainty (MU) obtained using formal principles of uncertainty propagation. (ISO 5725-3:1994 provides additional models for studies of intermediate precision. However, while the same general approach may be applied to the use of such extended models, uncertainty evaluation using these models is not incorporated in ISO 21748:2010.) ISO 21748:2010 is applicable in all measurement and test fields where an uncertainty associated with a result has to be determined. It does not describe the application of repeatability data in the absence of reproducibility data. ISO 21748:2010 assumes that recognized, non-negligible systematic effects are corrected, either by applying a numerical correction as part of the method of measurement, or by investigation and removal of the cause of the effect. The recommendations in ISO 21748:2010 are primarily for guidance. It is recognized that while the recommendations presented do form a valid approach to the evaluation of uncertainty for many purposes, it is also possible to adopt other suitable approaches. In general, references to measurement results, methods and processes in ISO 21748:2010 are normally understood to apply also to testing results, methods and processes.

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Main informations

Collections

National standards and national normative documents

Publication date

December 2010

Number of pages

45 p.

Reference

NF ISO 21748

ICS Codes

17.020   Metrology and measurement in general

Classification index

X06-067

Print number

1 - 13/12/2010

International kinship

Sumary
Guidance for the use of repeatability, reproducibility and trueness estimates in measurement uncertainty estimation

ISO 21748:2010 gives guidance for evaluation of measurement uncertainties using data obtained from studies conducted in accordance with ISO 5725-2:1994; comparison of collaborative study results with measurement uncertainty (MU) obtained using formal principles of uncertainty propagation. (ISO 5725-3:1994 provides additional models for studies of intermediate precision. However, while the same general approach may be applied to the use of such extended models, uncertainty evaluation using these models is not incorporated in ISO 21748:2010.)

ISO 21748:2010 is applicable in all measurement and test fields where an uncertainty associated with a result has to be determined. It does not describe the application of repeatability data in the absence of reproducibility data.

ISO 21748:2010 assumes that recognized, non-negligible systematic effects are corrected, either by applying a numerical correction as part of the method of measurement, or by investigation and removal of the cause of the effect.

The recommendations in ISO 21748:2010 are primarily for guidance. It is recognized that while the recommendations presented do form a valid approach to the evaluation of uncertainty for many purposes, it is also possible to adopt other suitable approaches. In general, references to measurement results, methods and processes in ISO 21748:2010 are normally understood to apply also to testing results, methods and processes.

Replaced standards (1)
FD ISO/TS 21748
June 2004
Published document Cancelled
Guidance for the use of repeatability, reproductibility and trueness estimates in measurement uncertainty estimation

<p>TS 21748:2004 gives guidance for the evaluation of measurement uncertainties using data obtained from studies conducted in accordance with ISO 5725-2, and for the comparison of collaborative study results with measurement uncertainty obtained using formal principles of uncertainty propagation. TS 21748:2003 is applicable in all measurement and test fields where an uncertainty associated with a result has to be determined, but does not describe the application of repeatability data in the absence of reproducibility data. The recommendations in this document are primarily for guidance.</p>

Standard replaced by (1)
NF ISO 21748
July 2017
Standard Current
Guidance for the use of repeatability, reproducibility and trueness estimates in measurement uncertainty evaluation

<p>ISO 21748:2017 gives guidance for</p> <p>- evaluation of measurement uncertainties using data obtained from studies conducted in accordance with ISO 5725‑2, and</p> <p>- comparison of collaborative study results with measurement uncertainty (MU) obtained using formal principles of uncertainty propagation (see Clause 14).</p> <p>ISO 5725‑3 provides additional models for studies of intermediate precision. However, while the same general approach may be applied to the use of such extended models, uncertainty evaluation using these models is not incorporated in this document.</p> <p>ISO 21748:2017 is applicable to all measurement and test fields where an uncertainty associated with a result has to be determined.</p> <p>ISO 21748:2017 does not describe the application of repeatability data in the absence of reproducibility data.</p> <p>ISO 21748:2017 assumes that recognized, non-negligible systematic effects are corrected, either by applying a numerical correction as part of the method of measurement, or by investigation and removal of the cause of the effect.</p> <p>The recommendations in this document are primarily for guidance. It is recognized that while the recommendations presented do form a valid approach to the evaluation of uncertainty for many purposes, it is also possible to adopt other suitable approaches.</p> <p>In general, references to measurement results, methods and processes in this document are normally understood to apply also to testing results, methods and processes.</p>

Table of contents
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  • Avant-propos
    iv
  • Introduction
    v
  • 1 Domaine d'application
    1
  • 2 Termes et définitions
    1
  • 3 Symboles
    5
  • 4 Principes
    7
  • 4.1 Résultats individuels et performance du processus de mesure
    7
  • 4.2 Utilisation des données de reproductibilité
    8
  • 4.3 Équations fondamentales pour le modèle statistique
    8
  • 4.4 Données de répétabilité
    9
  • 5 Évaluation de l'incertitude de mesure à l'aide des estimations de la répétabilité, de la reproductibilité et de la justesse
    9
  • 5.1 Mode opératoire pour l'évaluation de l'incertitude de mesure
    9
  • 5.2 Différences entre fidélité attendue et fidélité réelle
    10
  • 6 Établissement de la pertinence des données de performance de la méthode aux résultats de mesure à partir d'un processus de mesure particulier
    10
  • 6.1 Généralités
    10
  • 6.2 Démonstration du contrôle de la composante du biais imputable au laboratoire
    10
  • 6.3 Vérification de la répétabilité
    13
  • 6.4 Vérification continue de la performance
    13
  • 7 Établissement de la pertinence de l'individu d'essai
    14
  • 7.1 Généralités
    14
  • 7.2 Échantillonnage
    14
  • 7.3 Préparation et traitement préalable des échantillons
    14
  • 7.4 Changements du type d'individu d'essai
    14
  • 7.5 Variation de l'incertitude avec le niveau de réponse
    15
  • 8 Facteurs supplémentaires
    15
  • 9 Expression générale pour l'estimation de l'incertitude-type composée
    16
  • 10 Budgets d'incertitude fondés sur des données d'essais interlaboratoires
    16
  • 11 Évaluation de l'incertitude pour un résultat composé
    18
  • 12 Expression de l'information sur l'incertitude
    18
  • 12.1 Expression générale
    18
  • 12.2 Choix du facteur d'élargissement
    18
  • 13 Comparaison des valeurs de performance d'une méthode et des données d'incertitude
    19
  • 13.1 Hypothèses de base pour la comparaison
    19
  • 13.2 Mode opératoire de comparaison
    20
  • 13.3 Raisons des différences
    20
  • Annexe A (informative) Méthodes d'estimation de l'incertitude
    21
  • Annexe B (informative) Évaluation expérimentale de l'incertitude
    26
  • Annexe C (informative) Exemples de calcul de l'incertitude de mesure
    27
  • Bibliographie
    38
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