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SOURCE:    Almanac of Modern Science and Education. Tambov: Gramota, 2014. № 5-6. P. 24-27.
SCIENTIFIC AREA:    Technical Sciences
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TECHNICAL-EcONOMIC MODELLING AT MINING ENTERPRISE BY METHOD OF NON-LINEAR FUNCTIONAL-FACTORIAL REGRESSION

Antonov Vladimir Aleksandrovich
Institute of Mining of the Ural Department of the Russian Academy of Sciences


Abstract. The main aspects of technical-economic modelling at the mining enterprise by the method of non-linear functional-factorial regression are considered. The peculiarity of the method consists in the objective consideration of regression causality, the application of the additional optimization of its parameters, and the check of constructed models for the accuracy of economic processes display. The advantages of created models are shown in comparison with well-known linear solutions. The efficiency of modeling is illustrated by two practical examples of economic researches.
Key words and phrases: технико-экономический процесс, функциональные факторы, нелинейная регрессия, модель, оптимизация, коэффициент детерминации, technical-economic process, functional factors, non-linear regression, model, optimization, determination coefficient
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References:
  1. Antonov V. A. Postroenie nelineinoi funktsional'no-faktornoi regressii v gorno-tekhnologicheskikh issledovaniyakh. // Al'manakh sovremennoi nauki i obrazovaniya. Tambov: Gramota, 2013. № 5 (72). S. 16-24.
  2. Yakovlev V. L., Tarasov P. I., Zhuravlev A. G. Novye spetsializirovannye vidy transporta dlya gornykh rabot. Ekaterinburg: UrO RAN, 2011.

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