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 ...

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 ...

Magee, T., E. Zagona and M. Clement (2014). “Efficient methods for Optimizing Under Uncertainty.” In Proceedings of the 11th International Conference on Hydroinformatics, New York City, August 17–21, ...

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 ...

Peak power meters have long been accepted as accurate measurement standards. But just how accurate are these power measurements? Calculating the accuracy of RF peak power measurements requires more ...