Monte Carlo methods have emerged as a crucial tool in the evaluation of measurement uncertainty, particularly for complex or non-linear measurement systems. By propagating full probability ...

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 ...

Quantum measurement and uncertainty relations lie at the heart of quantum mechanics, delineating fundamental limits on the precision with which non-commuting observables can be simultaneously ...

How does Thermo Fisher Scientific's analytical software support the calculation of measurement uncertainty? Wilhelm Sanders: According to DIN EN ISO 17025, it is necessary to calculate the measurement ...

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 ...

A program for calibration and routine testing of weighing instruments ensures accurate results. A measurement of any kind is affected by the errors and uncertainties that exist in that measurement ...

Precision can be defined as the closeness in agreement of results during a series of repeat measurements under presumed identical conditions. These results are often expressed as a standard deviation.

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 ...

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 ...

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