The European Centre for
Mathematics and Statistics in Metrology
MATHMET is developing advanced algorithms for analysing key comparison data sets and offers support to European labs in carrying out key comparisons.
Evaluation of uncertainty
The evaluation of measurement uncertainty is a key task in all metrological applications, and MATHMET develops improved methods for the evaluation and propagation of uncertainties.
Regression problems arise when the quantity of interest cannot be measured directly, but has to be inferred from measurement data using a mathematical model.
Many applications require making reliable decisions of conformity given relevant measurement results with associated uncertainty statements.
Computationally expensive problems
MATHMET is developing methods to enable uncertainty evaluation in metrological applications with computationally expensive model functions that prohibit large number of Monte Carlo trials.
Analysis of dynamic measurements
MATHMET aims to develop, provide and apply improved methods for the evaluation of uncertainty in applications where the value of quantity varies with time.