Model-based identification of Systematic errors in measurements
Hidde de Jong, V.J. Wit, Nicolaas Jacobus Ignatius Mars, P.E. van der Vet · University of Twente Research Information · 1998
Large-scale databases and knowledge bases with property measurements obtained in scientific experiments or at observation sites have become available in the past decade. With the growing use of these so-called measurement bases, the task of ascertaining the accuracy of measurements is becoming increasingly important. We introduce an implemented method for the model-based identification of systematic errors which has been applied in a case-study in materials science. The method is formalized in terms of QR and MBD techniques, which provides correctness guarantees and facilitates extensions.