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

Artificial Analysis overhauls its AI Intelligence Index, replacing saturated benchmarks with real-world tests measuring economic productivity across 44 occupations.

Data Envelopment Analysis (DEA) is a non‐parametric technique for assessing the relative efficiency of decision making units (DMUs) by comparing the ratio of multiple inputs to outputs. Since its ...

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 class will be a survey of the most recent science and quantitative models of high stakes non-reactive decision making, focused primarily on non-human mammals and birds. There will be a significant ...

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 ...

Marketing measurement tools often overclaim results. Discover three practical ways to audit attribution and MMM outputs using ...