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A Generalized Confidence Interval for a Measurand in the Presence of type-A and type-B Uncertainties

Published

Author(s)

Chih-Ming Wang, Hariharan K. Iyer

Abstract

We consider the problem of estimating a measurand based on a sequence of measurements. Each measurement has both type-A and type-B errors. The measurements may have been obtained from a single experiment or several separate experiments. We investigate the estimation problem under two measurement models having different sets of assumptions on type-B errors. We review commonly used procedures for obtaining a confidence interval for the measurand and discuss an alternative approach based on the principle of generalized inference. We use several examples to illustrate the proposed approach.
Citation
Measurement
Volume
39

Keywords

generalized pivotal quantity, ISO GUM, key comparisons
Created April 11, 2006, Updated February 17, 2017