Knowing whether your measurement system issue is due to repeatability or reproducibility will point you in the proper direction for correcting and improving your measurement system.

The majority of measurement system errors can be placed into one of the following categories: accuracy, linearity, repeatability, reproducibility, stability and bias.

A substantial aspect of scientific research involves linking concepts to observations using measurements. This exercise has raised questions among researchers of whether or not measurements "truly" ...

Using all this, they recorded 69 powder features, 15 process parameters, and 78 part properties in a large database. They ...

Organizations use data every day to make decisions. Good data allows us to make good decisions; on the other hand, bad data typically leads to bad decisions. So how do we know if our data is good?

8002 Background: The CT scan is the most widely used assessment of response to treatment for lung tumors. However, little is known about the reproducibility of the measurements obtained. Prior studies ...

Conclusions: The Early CDT-Lung test demonstrates a high degree of reproducibility in measurements of serial samples taken from the same patient. Cyclic hormonal changes do not appear to affect assay ...

https://doi.org/10.1641/0006-3568(2006)56[958:rarie]2.0.co;2 • https://www.jstor.org/stable/10.1641/0006-3568(2006)56[958:rarie]2.0.co;2 P Arzberger, P Schroeder, A ...

Some of their key responsibilities include analysis and publication of reproducibility and repeatability studies of quantitative MRI, lead and contribute to team research and development efforts in ...

“Seqera Containers enable reproducibility, scalability, and collaboration in bioinformatics research, easing the burden of software management so researchers can focus on core scientific endeavors.