A New Scientific Approach to Evaluating the Results of Research on Theoretical and Experimental
The article on the basis of mathematical statistical methods, proposed the whole new way of estimation of coincidence for theoretical and experimental data. The probability of coincidence of theoretical and experimental data used for the indicator (probability coincidence). Theoretical and experimen...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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LLC Production and Commercial Company «FAVOR, LTD»
2017-11-01
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| Series: | Метрологія та прилади |
| Subjects: | |
| Online Access: | https://mmi-journal.org/index.php/journal/article/view/137 |
| Summary: | The article on the basis of mathematical statistical methods, proposed the whole new way of estimation of coincidence for theoretical and experimental data. The probability of coincidence of theoretical and experimental data used for the indicator (probability coincidence). Theoretical and experimental data is normally distributed, it is simplifying for the indicator. Simplifying assumption that the theoretical distribution varies of uncertainty (of absolute error) of the investigated parameter. The article aims at improving the accuracy of estimates of compliance (adequacy) of data models theoretical and experimental. An indicator that is developed provides an opportunity to assess the adequacy of the mathematical model to the data of the experiment quantitatively. It takes into account the magnitude of the uncertainty (absolute error) metrics that are included in the mathematical model. The physical essence of the proposed measure is the probability with which the theoretical distribution is consistent with the experimental distribution. Figure — 2. References — 11. |
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| ISSN: | 2307-2180 2663-9564 |