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 ...

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 ...

What you’ll learn: How oscilloscope-based packages improve bring-up, debugging, and validating power converters as well as help engineers achieve faster and more repeatable measurements. How analysis ...

The different IBIS quality levels. The steps in the IBIS bench measurement procedure. Process for Quality Level 2a and Level 2b validation. The Input/Output Buffer Information Specification (IBIS) is ...