Multiple Regression with Transformations and Variable Selection at the Industrial Scale
This article explores the development of a statistical model to predict roll forces during hot rolling in a commercial steel mill based on a dataset from an industrial-scale operation; this dataset consists of 2255 individual coils, processed through five roll stands in the mill, for a total of 11,2...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-07-01
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| Series: | Journal of Statistics and Data Science Education |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/26939169.2025.2490027 |
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