I previously talked about measurements (some) when I looked at the uncertainty in the distance to the Sun. One of the simple ways of determining the uncertainty of a calculated quantity is to use 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 ...

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 ...

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

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 guide to measurement uncertainty in EMC tests is now available from Schaffner EMC. The guide provides the basic concepts for identifying and calculating contributions to uncertainty as well as ...

Measurements are always made for a reason – to answer a particular question or to help solve a problem. Whenever a measurement is made there will always be some uncertainty about the result due to ...

All measurements are subject to error. When a reportable value is derived from a measurement or series of measurements, this value is only an estimate of the “true ...

Dublin - Research and Markets (http://www.researchandmarkets.com/research/2b39e514/measurement_and_in) has announced the addition of Elsevier Science and Technology's ...