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ISO 13587:2012

ISO 13587:2012 Three statistical approaches for the assessment and interpretation of measurement uncertainty

CDN $312.00

SKU: 25b711e789ee Category:

Description

ISO/TR 13587:2012 is concerned with three basic statistical approaches for the evaluation and interpretation of measurement uncertainty: the frequentist approach including bootstrap uncertainty intervals, the Bayesian approach, and fiducial inference. The common feature of these approaches is a clearly delineated probabilistic interpretation or justification for the resulting uncertainty intervals. For each approach, the basic method is described and the fundamental underlying assumptions and the probabilistic interpretation of the resulting uncertainty are discussed. Each of the approaches is illustrated using two examples including an example from the ISO/IEC Guide 98-3 (Uncertainty of measurement ? Part 3: Guide to the expression of uncertainty in measurement (GUM:1995)). This document also includes a discussion of the relationship between the methods proposed in GUM Supplement 1 and these three statistical approaches.

Edition

1

Published Date

2012-07-13

Status

PUBLISHED

Pages

43

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

ISO/TR 13587:2012 is concerned with three basic statistical approaches for the evaluation and interpretation of measurement uncertainty: the frequentist approach including bootstrap uncertainty intervals, the Bayesian approach, and fiducial inference. The common feature of these approaches is a clearly delineated probabilistic interpretation or justification for the resulting uncertainty intervals. For each approach, the basic method is described and the fundamental underlying assumptions and the probabilistic interpretation of the resulting uncertainty are discussed. Each of the approaches is illustrated using two examples including an example from the ISO/IEC Guide 98-3 (Uncertainty of measurement ? Part 3: Guide to the expression of uncertainty in measurement (GUM:1995)). This document also includes a discussion of the relationship between the methods proposed in GUM Supplement 1 and these three statistical approaches.

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