METROLOGY SOFTWARE FOR EXPRESSING UNCERTAINTY BY PROBABILITY DENSITIES

The paper addresses development of metrology software for the evaluation and expression of measurement uncertainty. It is based on representing measurement results as a probability density over allowable values of the measurand. The architecture of a general code aiming at the treatment of any kind of measurement transformation is discussed and a first core module is presented, concerning linear time invariant processes. The output of the program is a probability density, which is calculated on the basis of available information, without using simulation. Standard and expanded uncertainty may be calculated at any required coverage level. Results are more accurate than provided by the Welch-Satterwaite method suggested in the GUM.