SELECTED PROBLEMS IN STATISTICAL MODELLING OF METALLURGICAL PROCESSES

被引：0
|
作者：
Tosenovsky, Filip [1 ]
Tosenovsky, Josef [1 ]
Blastikova, Marta [1 ]
机构：
[1] VSB Tech Univ Ostrava, Fac Mat Sci & Technol, Dept Qual Management, Ostrava, Czech Republic
来源：
28TH INTERNATIONAL CONFERENCE ON METALLURGY AND MATERIALS (METAL 2019) | 2019年
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中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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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页码：1844 / 1850
页数：7
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