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 ...

High-speed atomic force microscopy (HS-AFM) is the only experimental technique to directly watch proteins in dynamic action.

A new model has been developed that can more accurately predict the risk of liver cancer in hepatitis B patients. A research ...

The modeling industry has long been notorious for its limiting requirements for model measurements. If a woman wasn’t a 5’10” waif, the chances of breaking into the biz were slim to none. This is ...

The RunStar 8E SmartScan Pro Body Fat Scale not only tracks over 21 body composition stats, but can also measure the ...

Researchers have developed a machine learning model that could better measure baseball players' and teams' short- and long-term performance, compared to existing statistical analysis methods for the ...

Researchers from the Xinjiang Astronomical Observatory of the Chinese Academy of Sciences have developed a hybrid deep ...