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 ...

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 ...

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 ...

If you hang around calibration people for a while, you learn that every measurement has an uncertainty. Some call it accuracy, some call it tolerance, but uncertainty is the term that calibration ...

Every year an increasing number of laboratories using OES (Optical Emission Spectroscopy) spectrometers get accredited according to DIN EN ISO 17025. Compliance with DIN EN ISO 17025 has elevated the ...

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

Based on the EURAMET Calibration Guide No. 18 “Guidelines on the Calibration of Non-Automatic Weighing Instruments” 1–3 (represented as “EURAMET cg-18”), this QApp function offers a dynamic display of ...

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

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