Audience
Companies that need an advanced Statistical Analysis solution
About GUMsim
Deviations from the true value (measurement uncertainty) always accompany measurements carried out in the context of the evaluation or calibration of measurement instruments or procedures. Quality control requires that this uncertainty is quantified. Based on the current Guide to the Expression of Uncertainty in Measurement (GUM) and the GUM supplement 1, GUMsim® is built upon advanced computational algorithms that allow more efficient determination of measurement uncertainty in compliance with ISO/IEC 17025. The determination of measurement uncertainty results from the mathematical relation and statistical evaluation of all factors which contribute to the measurement result. For such measurement models GUMsim offers a comfortable input environment. Several application models have been pre-defined and are available as templates for your particular evaluations to help you get started.