Figure 1 shows that individual measurement values hover around a mean value and the difference between the mean value and true value is the systematic error of ...

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

Assess a discrete measurement. Perform analyzes for potential and long term control and capability. Make decisions on measurement systems process improvement. In this module, we will learn to identify ...

Very often, in the test and measurement industry, a measurement is made by instrumentation, which is often subject to errors. It is difficult to estimate the true value of the measured quantity given ...

Particle analysis is a crucial step in the quality control of bulk materials and is performed in laboratories worldwide. The methods used have usually been established for years and are rarely ...

JACQUES-BÉNIGNE BOSSUET, the 17th century French bishop and pulpit orator, once said “Every error is truth abused.” He was referring to man’s foibles, of ...

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 ...

Gas-fired power plants consume large volumes of gas. Accurate measurement of natural gas consumption in gas-fired power plants is a necessary element in commodity pricing of electricity. An accurate ...