This wideband capability allows engineers to address diverse applications including broadband RF and microwave component ...

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 ...

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, ...

When measurement thresholds deviate from physical reality, logistics networks may encounter a subtle yet economically ...

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?

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

In this 90-minute online session, we will take a deep dive into measurement system analysis, or MSA. We will explore standard tools to assess our measurement system, specifically looking at ...