©Fluke Calibration 2011 Basics Of Measurement Uncertainty for DMM Calibration 24
The GUMs classify two types of
measurement uncertainty
• Type A uncertainty – errors that can be statistically
evaluated from the set of measurement data (Often
considered as random uncertainty)
− For example: Repeatability of the measurement (influenced by dmm
characteristics, signal stability, jitter, noise, etc.)
• Type B uncertainties – estimates of errors influencing the
measurement that are not directly observed from the
measurement data (Often considered as systematic
uncertainty)
− Errors of the calibrating standards (performance specifications for
accuracy changes over time and other conditions)
− Inherent limitations of the unit being tested (DMM resolution
limitations)
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