All measurements are subject to error. When a reportable value is derived from a measurement or series of measurements, this value is only an estimate of the “true ...

Bayesian uncertainty analysis represents a powerful statistical framework that integrates prior knowledge with observed measurement data to quantify uncertainty in a ...

In the first round of testing, involving 60 measurements (six samples x five repeat tests x two rounds), an initial review of the results indicated that one sample consistently performed better than ...

Performing a measurement uncertainty calculation is often seen as problematic. One of the barriers to be overcome in the wider application of measurement uncertainty (MU) to reportable values is the ...

The technique which is recommended by the regulatory bodies ISO (International Organisation for Standardisation) and BIPM (Bureau International des Poids et Mesures) is one of the most comprehensive ...

Measurement uncertainty, as described in ISO/IEC Guide 98, is a “parameter, associated with the result of a measurement, [which] characterizes the dispersion of values that could reasonably be ...

GUM, the internationally approved technique for calculating measurement uncertainty, is reliant on the availability of a certified reference sample. Likewise, to find any repeatable offset (systematic ...

In order to use the result of a chemical analysis for other purposes, its quality must be assessed. One important quality feature is the probability that the result coincides with the ‘true’ value. It ...

With today's applications requiring lower and lower noise-figure amplifiers, noise-source uncertainty becomes a bigger and bigger concern. Microwave modeling software ...