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A statistical model to the expression of uncertainty and confidence in measurement

A statistical model to the expression of uncertainty and confidence in measurement

Authors :
Gaetano Iuculano
G. Pellegrini Gualtieri
A. Zanobini
Source :
Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference [Cat. No. 00CH37066].
Publication Year :
2002
Publisher :
IEEE, 2002.

Abstract

The explicit recognition of uncertainty is central to any measurement process. In this work a computer-intensive approach is adopted to the estimation of uncertainty at a given coverage probability, that is, at a given region of confidence in a measurement process. The method is adaptable to a large range of situations and is based on the use of Monte Carlo approximation and bootstrap resampling iteration. An experimental model is examined to understand the applicability of the numerical technique and to check the potentiality of the proposed method.

Details

Database :
OpenAIRE
Journal :
Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference [Cat. No. 00CH37066]
Accession number :
edsair.doi...........eed5b1acc94de5a5caad34207d503b4a
Full Text :
https://doi.org/10.1109/imtc.2000.848897