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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
Pub Type
Journals
Keywords
generalized pivotal quantity, ISO GUM, key comparisons
Citation
Wang, C.
and Iyer, H.
(2006),
A Generalized Confidence Interval for a Measurand in the Presence of type-A and type-B Uncertainties, Measurement
(Accessed September 26, 2023)