Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...

In large epidemiological studies, it is often impractical to collect direct quantitative measures of exposure on all subjects. Cohort studies of the effects of traffic-related air pollution are ...

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 ...

In this study, we investigated bias caused by spatial variability and spatial heterogeneity in outdoor air-pollutant concentrations, instrument imprecision, and choice of daily pollutant metric on ...

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 ...

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 ...

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 ...

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 ...

In this course, you will learn to analyze measurement systems for process stability and capability and why having a stable measurement process is imperative prior to performing any statistical ...