Dimensional Measurement Uncertainty from Data, Part 1: Check Standards

by Ted Doiron

Uncertainty has proven difficult to implement in calibrations labs. The subject has advanced mathematics and statistics that are often needed for scientific research, but are seldom needed to develop uncertainty budgets for routine calibrations. There is, however, a second path to uncertainty that does not require such mathematical skills, only patience. This method, using check standards to sample the sources of variability is actually part of the GUM, albeit a small part. >> Read Full Article (PDF)