Model-based Identification of Systematic Errors in Measurements

H. de Jong, V.J. de Wit, N.J.I. Mars, P.E. van der vet

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.


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.