Test instruments such as oscilloscopes and DMMs (digital multimeters) often let you get the measurement results you need with just the press of a button. But the number on a meter's display or the ...

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

The numerical difference between a forecasted quantity and the actual result is known as absolute error. If you predict that you'll run a mile in eight minutes and ...

In order to measure the mechanical properties of materials in compression, tension, bending or torsion, a universal testing machine is utilized. This article outlines the two different types ...

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 ...

Temperature is by far the most commonly measured physical parameter. With so many new ideas for connected devices in the works for consumer and industrial applications, you often need high-accuracy ...

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 ...