Effects of the uncertainty contributions on the methods used for measurement uncertainty evaluation
| Autor: | Tamás Pázmándi, Peter Zagyvai, Dorottya Jakab |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Alternative methods
Propagation of uncertainty Radiation Computer science Monte Carlo method 010403 inorganic & nuclear chemistry 01 natural sciences 030218 nuclear medicine & medical imaging 0104 chemical sciences Reliability engineering 03 medical and health sciences 0302 clinical medicine Component (UML) Evaluation methods Measurement uncertainty Standard uncertainty Reliability (statistics) |
| Zdroj: | Applied Radiation and Isotopes. 173:109704 |
| ISSN: | 0969-8043 |
| Popis: | Adequate measurement uncertainty evaluation is crucial for supporting basic measurement purposes. However, the most prevalent approach, the uncertainty propagation, may not be validly applicable under certain conditions which require the use of less restricted alternative method (MCM-based propagation of distributions). We demonstrate the effects of major conditions, e.g. non-linear measurement model, non-Gaussian input quantities, on the reliability of uncertainty evaluation methods, highlighting the importance of the less frequently examined impact of uncertainty component contributions to the standard uncertainty of measurand. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect