publication . Article . 2015

STATISTICAL ANALYSIS OF RAW SUGAR MATERIAL FOR SUGAR PRODUCER COMPLEX

A. A. Gromkovskii; O. I. Sherstyuk;
Open Access Russian
  • Published: 01 Jul 2015 Journal: Vestnik Voronežskogo Gosudarstvennogo Universiteta Inženernyh Tehnologij, issue 3, pages 172-176 (issn: 2310-1202, Copyright policy)
  • Publisher: Voronezh state university of engineering technologies
Abstract
Summary. In the article examines the statistical data on the development of average weight and average sugar content of sugar beet roots. The successful solution of the problem of forecasting these raw indices is essential for solving problems of sugar producing complex control. In the paper by calculating the autocorrelation function demonstrated that the predominant trend component of the growth raw characteristics. For construct the prediction model is proposed to use an autoregressive first and second order. It is shown that despite the small amount of experimental data, which provide raw sugar producing enterprises laboratory, using autoregression is justif...
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Subjects
free text keywords: sugar production, raw materials indices, modeling, forecasting, autoregression, adaptive prediction, brown’s model, lcsh:Food processing and manufacture, lcsh:TP368-456
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