Iyer, H.
and Wang, C.
(2005),
Propagation of Uncertainties in Measurements Using Structural Inference, Metrologia
(Accessed April 1, 2025)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Propagation of Uncertainties in Measurements Using Structural Inference
Published
Author(s)
,
Abstract
The ISO Guide to the Expression of Uncertainty in Measurement (GUM) recommends the use of a first-order Taylor series expansion for propagating errors and uncertainties. The GUM also permits the use of other analytical or numerical methods when the conditions for using the Taylor expansion do not apply. In this paper we propose an alternative approach for evaluating measurement uncertainty based on the principle of generalized inference. The proposed approach can be applied to measurement models having any number of input quantities and a vector-valued measurand. We use several examples from the GUM to illustrate the implementation of the proposed approach for the calculation of uncertainties in measurement results.Citation
Metrologia
Volume
42
Issue
2
Pub Type
Journals
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created March 20, 2005, Updated October 12, 2021