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

Five of the world’s leading research and education (R&E) networking organizations have joined forces to form MetrANOVA, a consortium for Advancing Network Observation, Visualization, and Analysis. “To ...

The National Association of ACOs is the latest to respond to CMS electronic quality measure goals. Which challenge to tackle first in digital quality reporting? The National Association of ACOs ...

Excessive moisture in construction materials like concrete, framing lumber, sheet rock, etc., can be a major factor behind any number of issues - let alone negatively impact the safety, quality, and ...

Moisture is important in any manufacturing process, but when it comes to powder and bulk solid processing, excess moisture can ruin products. And what is worse than a wasted effort? Economical losses ...

OpenAP's U.S. joint industry committee (JIC), which is focused on new cross-platform media measurement standards for the TV industry, has offered a slightly mixed assessmentfor previous “certified” ...

Organizations can capitalize on the digital marketing measurement market by adopting unified, AI-driven tools for accurate data attribution, optimizing resources, and enhancing campaign ...