SELECTED PROBLEMS IN STATISTICAL MODELLING OF METALLURGICAL PROCESSES

1 TOŠENOVSKÝ Filip
Co-authors:
1 TOŠENOVSKÝ Josef 1 BLAŠTÍKOVÁ Marta
Institution:
1 VSB - Technical University of Ostrava, Faculty of Materials Science and Technology, Department of Quality Management, Ostrava, Czech Republic, josef.tosenovsky@vsb.cz
Conference:
28th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 22nd - 24th 2019
Proceedings:
Proceedings 28th International Conference on Metallurgy and Materials
Pages:
1844-1850
ISBN:
978-80-87294-92-5
ISSN:
2694-9296
Published:
4th November 2019
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
43 views / 14 downloads
Abstract

The paper introduces modifications to the classical regression analysis that are deemed necessary when working with typical data from metallurgy, and foundry industry in particular. It specifically concerns the problem of multicollinearity, and shows both the practical application of the modified procedures and its consequences. The usefulness of the alternative procedures was verified for the metallurgical data that reflect existence of relation between selected mechanical properties of casts and their chemical composition.

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