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

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 ...

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 ...

In order to use the result of a chemical analysis for other purposes, its quality must be assessed. One important quality feature is the probability that the result coincides with the ‘true’ value. It ...

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 ...

Precision can be defined as the closeness in agreement of results during a series of repeat measurements under presumed identical conditions. These results are often expressed as a standard deviation.

Ensuring parts meet specification is crucial and so it helps to have confidence in your measurement system. Parts that don’t meet specification, whether gauging composition or measuring thickness, ...

How much does a quantum measurement disturb what comes next? A team at TU Wien has discovered a surprisingly simple formula that sets a fundamental limit on the trade-off between measurement ...