| Zugriffsnummer | 22233 |
| Dokumenttyp | Konferenzartikel |
| Sprache | Englisch |
| Titel | A Bayesian approach to the modelling and uncertainty evaluation of measurements |
| Autor(in); Institution |
Sommer, Klaus-Dieter; Landesamt für Mess- und Eichwesen, Thüringen (LMET), Ilmenau, GERMANY
Kochsiek, Manfred; Präsidium, VP, PTB-Braunschweig
Siebert, Bernd R. L.; Q.2, Theoretische Grundlagen, PTB-Braunschweig
|
| Quelle/Jahr | Third International Conference on Systems, Signals and Devices:(2005) |
| Availability | [CD-ROM] |
| Herausgeber(in) |
Djemel, Mohamed
|
| ISBN | 9973-95901-9 |
| Verlag | Tunis: IEEE |
| Konferenzangaben | Third International Conference on Systems, Signals and Devices (SSD), Sousse, 21-24, March, 2005, Tunisia |
| Freie Schlagworte | Uncertainty ; knowledge ; probability function ; Bayes ; model equation |
| Zusammenfassung | The Bayesian approach to uncertainty evaluation is based on both, the knowledge about the measuring process and the input quantities. Appropriate probability density functions for the input quantities can be obtained by utilizing the principle of maximum information entropy and the Bayes theorem. The Bayesian approach allows for stringently evaluating the measurement uncertainty without having any restrictions related to nonlinearity and determination of expanded uncertainty. With the exceptions of calculating the standard uncertainty from only a few repeated observations and the expanded uncertainty, for linearizable systems, the Standard GUM procedure is consistent with the Bayesian concept. |
