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| Content Provider | Springer Nature Link |
|---|---|
| Author | Tarapčík, P. Labuda, Ján Fourest, Blandine Pätoprstý, Viliam |
| Copyright Year | 2001 |
| Abstract | A complete and accurate evaluation of measurement uncertainty requires the knowledge of the uncertainty distributions. The latter are rarely determined or verified experimentally, and hence up to now only crude estimates or assumptions based on intuition have been used. The simulation of experimental results is readily accessible and provides a more relia-ble solution to this problem. When using an appropriate model of measurement and after determina-tion of input value parameters by present state-of-the-art techniques, simulation data supply reliable information about the distribution of the output results of a complex measurement. The method permits simple variation of preposition and therefore ready analysis of various features influencing the measurement of uncertainty intervals. In the paper we described examples of such evaluations related to the preparation of certified reference materials, where there is excellent agreement between the traditional and simulation approaches. And evaluation of more complex measurements of diffusion coefficients by the open capillary method, where uncertainty of the simulated result is more realistic than the re-sult from the traditional error method due to non-linearity and probably Cauchy distribution in some steps. |
| Starting Page | 352 |
| Ending Page | 359 |
| Page Count | 8 |
| File Format | |
| ISSN | 09491775 |
| Journal | Accreditation and Quality Assurance |
| Volume Number | 6 |
| Issue Number | 8 |
| e-ISSN | 14320517 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2001-08-01 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Chemistry Instrumentation Chemical Engineering Safety, Risk, Reliability and Quality |
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