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

Accurate laboratory results are essential for clinical decisions—but every measurement carries some uncertainty. Subscribe to our newsletter for the latest sci-tech news updates. Addressing this ...

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

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 ...

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 ...

When considering new technology, there are many data points to consider before making a substantial investment. One of the most important factors to consider when looking at upgrading flow measurement ...

A research team led by Prof. LIU Haiqing at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has carried out a comprehensive analysis of uncertainty propagation in ...