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, ...

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 ...

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 ...

AI models aren’t infallible; that’s why a prediction is often accompanied by a confidence score. Thanks to a recent study, these uncertainty estimates are now more accurate, efficient and scalable.

How confident are you in your lab results? This paper explores this question and, by way of a worked example, provides a methodology to answer it. Many may wonder at the number of analytical chemists ...

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 ...