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 ...

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 ...

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

Measurement uncertainty is a critical parameter that reflects the degree of confidence in the results provided by analytical and clinical laboratories. It encompasses the evaluation of both random ...

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 ...

Given the potentially strong, adverse effects of measurement error and the possibility of minimizing these using Hidden Markov models (HMMs), the aim of this thesis ...

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

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, ...

Mettler Toledo offers a new and unique service to titration customers, the Measurement Uncertainty Pac (MuPac), part of the Good Titration Practice™ Secure service offerings. MuPac offers a detailed ...