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

Metals and Materials International

Volumn 4, Issue 5, 1998, Pages 1047-1056

  Poliak, E I ^b   Shim, M K ^a   Kim, G S ^a   Choo, W Y ^a  

^a POSCO   (South Korea)

^b NATIONAL UNIVERSITY OF SCIENCE AND TECHNOLOGY MISIS   (Russian Federation)

Author keywords

Predictive ability; Process control models; Regression analysis; Rolling force

Indexed keywords

COMPUTATION THEORY; COMPUTATIONAL METHODS; RANDOM ERRORS; REGRESSION ANALYSIS; SYSTEMATIC ERRORS;

ACCURACY ASSESSMENT; COMPUTATIONAL MODEL; IN-PROCESS CONTROL; PREDICTION ERRORS; PREDICTIVE ABILITIES; PROCESS CONTROL MODELS; QUANTITATIVE CHARACTERISTICS; ROLLING FORCE;

PROCESS CONTROL;

EID: 0032446520     PISSN: 12259438     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF03025975     Document Type: Article

References (2)

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).
2. S. Rabinovich, Measurement Errors: Theory and Practice, p. 271, AIP, N.Y. (1993).