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Metals and Materials

, Volume 4, Issue 5, pp 1047–1056 | Cite as

Application of linear regression analysis in accuracy assessment of rolling force calculations

  • E. I. Poliak
  • M. K. Shim
  • G. S. Kim
  • W. Y. Choo
Article

Abstract

Efficient operation of the computational models employed in process control systems require periodical assessment of the accuracy of their predictions. Linear regression is proposed as a tool which allows separate systematic and random prediction errors from those related to measurements. A quantitative characteristic of the model predictive ability is introduced in addition to standard statistical tests for model adequacy. Rolling force calculations are considered as an example for the application. However, the outlined approach can be used to assess the performance of any computational model.

Key words

process control models predictive ability regression analysis rolling force 

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References

  1. 1.
    D. G. Kleinbaum, L L. Kupper and K. E. Muller,Applied Regression Analysis and Other Multivariate Methods, p. 716, PWS-KENT Publ. Co., Boston (1987).Google Scholar
  2. 2.
    S. Rabinovich,Measurement Errors: Theory and Practice, p. 271, AIP, N.Y. (1993).Google Scholar

Copyright information

© Springer 1998

Authors and Affiliations

  • E. I. Poliak
    • 1
    • 2
  • M. K. Shim
    • 1
  • G. S. Kim
    • 1
  • W. Y. Choo
    • 1
  1. 1.Plate, Rod and Welding TeamPOSCO Technical Research LaboratoriesPohangKorea
  2. 2.Department of Plastic Deformation of Special AllyosMoscow Steel and Alloys InstituteMoscowRussia

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