Email Document Reference

Enter your email address below and the reference for this document will be sent to shortly from webmaster@ceesi.com.

Title: Comparison Of Methods For Establishing Confidence Limits And Expanded Uncertainties
Author: Suzanne Castrup
Source: 2010 Measurement Science Conference
Year Published: 2010
Abstract: In reporting measurement results, it may be necessary to include an interval that contains the true value with some specified confidence level or probability. The interval may be reported as confidence limits, with an associated confidence level, or an expanded uncertainty, with an associated coverage factor. This paper examines three methods for computing confidence limits and expanded uncertainties: 1) GUM, 2) Convolution and 3) Monte Carlo Simulation. The first method combines error distribution variances, while the second and third methods directly combine error distributions via mathematical or numerical techniques. Four direct measurement scenarios are evaluated and the intervals computed from each method are compared.

In order to prevent spam and automated file downloads for documents within the Measurement Library, please follow the instructions below and then you will be able to email a reference to this article.