USE OF ROBUST CHARACTERISTICS FOR METALLURGICAL PROCESS MODELLING

1 TOŠENOVSKÝ Filip
Co-authors:
1 TOŠENOVSKÝ Josef 1 SMAJDOROVÁ Tereza 1 GROWKOVÁ Vendula
Institution:
1 VSB - Technical University of Ostrava, Ostrava, Czech Republic, EU, filip.tosenovsky@vsb.cz
Conference:
24th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, June 3rd - 5th 2015
Proceedings:
Proceedings 24th International Conference on Metallurgy and Materials
Pages:
1750-1756
ISBN:
978-80-87294-58-1
ISSN:
2694-9296
Published:
12th January 2015
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
48 views / 24 downloads
Abstract

The paper deals with problems of modelling technological processes in cases when the available data sample is of small size and contains outliers. The essence of the method used in the paper lies in robust quantitative characteristics. For the purposes of the paper, data are simulated and processed both the standard and nonstandard way using robust characteristics. Both approaches are then compared. The characteristics that are modelled involve a measure of central tendency of a quality variable Y and a characteristic of variability of that variable.

Keywords: Design of experiments, regression function, robust characteristics

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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