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.

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 ...

Assessment of the effects of measurement error is challenging in part because the distribution of true pollutant concentrations throughout the airshed cannot be known ...

This is a preview. Log in through your library . Abstract We consider quadratic regression models where the explanatory variable is measured with error. The effect of ...

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, ...

SAE Transactions, Vol. 104, Section 6: JOURNAL OF PASSENGER CARS: Part 1 (1995), pp. 21-32 (12 pages) The height of a vehicle's center-of-gravity (CG) is one factor that influences its handling ...

AI-powered data analysis tools have the potential to significantly improve the quality of scientific publications. A new study by Professor Mathias Christmann, a chemistry professor at Freie ...