GSO ISO 21748:2021

Gulf Standard   ACTIVE

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

Scope

ISO 21748:2017 gives guidance for

- evaluation of measurement uncertainties using data obtained from studies conducted in accordance with ISO 5725‑2, and

- comparison of collaborative study results with measurement uncertainty (MU) obtained using formal principles of uncertainty propagation (see Clause 14).

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.

ISO 21748:2017 is applicable to all measurement and test fields where an uncertainty associated with a result has to be determined.

ISO 21748:2017 does not describe the application of repeatability data in the absence of reproducibility data.

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.

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.

In general, references to measurement results, methods and processes in this document are normally understood to apply also to testing results, methods and processes.

Adoption without modification
ISO 21748:2017
01 July 2021
Metrology and measurement in general
Including measuring instruments in general, preferred numbers, standard measures, general aspects of reference materials, etc.

Files

English
38 Pages
65.77 OMR
 

Related Standards

Updates
GSO ISO 21748:2012
ISO 21748:2010 
Updated
Gulf Standard
Guidance for the use of repeatability, reproducibility and trueness estimates in the measurement uncertainty estimation

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