Fodor, Kitti and Varga, Beatrix (2023) Can we predict the criticality now better than in 2017? MULTIDISZCIPLINÁRIS TUDOMÁNYOK: A MISKOLCI EGYETEM KÖZLEMÉNYE, 13 (2). pp. 289-296. ISSN 2062-9737
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Abstract
Critical raw materials are part of our daily lives, despite what we may not think. For example, they are found in cars, but they are used in many other areas. Our aim in this study was to examine how the critical raw materials sector has changed over the last 6 years. Our analysis was carried out using logistic regression. We observed that in 2023, we can more accurately categorise raw materials using the SR and EI parameters than in 2017. The model was able to correctly categorise the raw materials with an accuracy of 96.6%.
| Item Type: | Article |
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| Uncontrolled Keywords: | critical raw materials, logistic regression, change, classification |
| Subjects: | H Social Sciences / társadalomtudományok > H Social Sciences (General) / társadalomtudomány általában H Social Sciences / társadalomtudományok > HB Economic Theory / közgazdaságtudomány |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 25 Apr 2024 10:18 |
| Last Modified: | 25 Apr 2024 10:18 |
| URI: | https://real.mtak.hu/id/eprint/193123 |
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