Wang, C.
and Iyer, H.
(2006),
Uncertainty Analysis for Vector Measurands Using Fiducial Inference, Metrologia
(Accessed May 2, 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.
Uncertainty Analysis for Vector Measurands Using Fiducial Inference
Published
Author(s)
,
Abstract
This paper presents a method for constructing uncertainty regions for a vector measurand in the presence of both type-A and type-B errors. The method is based on the principle of fiducial inference and generally requires a Monte Carlo approach for computing uncertainty regions. A small simulation study is carried out to evaluate the performance of the method. Computer programs, written in public-domain software, for computing uncertainty regions are listed. An example, involving complex S-parameter measurements, is used to illustrate the proposed method.Citation
Metrologia
Volume
43
Pub Type
Journals
Keywords
generalized pivotal quantities, ISO GUM, key comparisons.
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created January 1, 2006, Updated January 27, 2020