Abstract
Referring to the Guide to the Expression of Uncertainty in Measurement
(GUM), the paper proposes a theoretical contribution to assess the
uncertainty interval, with relative confidence level, in the case of n
successive observations. The approach is based on the Chi-square and
Fisher distributions and the validity is proved by a numerical example.
For a more detailed study of the uncertainty evaluation, a model for the
process variability has been also developed.
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