Wang, C.
, Hannig, J.
and Iyer, H.
(2012),
Pivotal Methods in the Propagation of Distributions, Metrologia
(Accessed November 12, 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.
Pivotal Methods in the Propagation of Distributions
Published
Author(s)
, ,
Abstract
We propose a method for assigning a probability distribution to an input quantity. The distribution is used in the Monte Carlo method for uncertainty evaluation. The proposed method provides an alternative to other methods, such as the principle of maximum entropy and Bayesian procedure that were used in Supplement 1 to the Guide to the Expression of Uncertainty in Measurement for the same purpose. The method is based on an exact or approximate pivotal quantity and is easily applied. We use several examples from commonly known models to illustrate the implementation of the proposed approach.Citation
Metrologia
Volume
49
Pub Type
Journals
Keywords
Fiducial inference, GUM, Monte Carlo method, uncertainty
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created April 24, 2012, Updated February 19, 2017