The particularities of multiple regression as a method for mathematically describing the technological processes in glass production are examined. The procedure for choosing the structure of the regression model based on analysis of the variation of the dependent variable under the conditions of normal flow of the process being analyzed is described. The efficacy of the procedure proposed for describing the technological process of glass ribbon formation in a float bath is shown.
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References
V. P. Borodyuk and É. K. Letskii, Statistical Description of Industrial Objects [in Russian], Énergiya, Moscow (1971).
A. M. Dubrov, V. S. Mkhitaryan and L. I. Troshin, Multidimensional Statistical Methods [in Russian], Finansy i Statistika, Moscow (2006).
F. F. Pashchenko, Introduction to Valid Methods for Modeling Systems, Pt. 1, Mathematical Principles of Systems Modeling [in Russian], Finansy i Statistika, Moscow (2006).
R. I. Makarov, E. R. Khorosheva and S. A. Lukashin, Automation of Sheet Glass Production (Float Method) [in Russian], Assotsiatsiya Stroitel’nykh Vuzov, Moscow (2002).
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Translated from Steklo i Keramika, No. 4, pp. 14 – 16, April, 2014.
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Makarov, R.I. Statistical Description of Technological Processes in Glass Production. Glass Ceram 71, 121–123 (2014). https://doi.org/10.1007/s10717-014-9632-z
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DOI: https://doi.org/10.1007/s10717-014-9632-z