RPPH Blog Books / Libros
The use of Information Technologies for the implementation of the statistical analysis of Polymer product prices
PDF

Keywords

Ecosistema
valoración económica
servicios ambientales y sustentabilidad

How to Cite

Gareeva, G., & Grigoreva, D. (2017). The use of Information Technologies for the implementation of the statistical analysis of Polymer product prices. Revista Publicando, 4(13 (3), 595-600. https://revistapublicando.org/revista/index.php/crv/article/view/876

Abstract

A wide introduction of computer technology in all spheres of activity of organizations and enterprises creates the prerequisites for an active use of information technologies to implement the statistical analysis.

This article is devoted to the use of information technologies in statistical methods on the example of price analysis for polymer products. The statistical analysis was performed using the "Statistica" software on the basis of available data.

In this work they used the method of exponential smoothing and neural network methods of system analysis. On the basis of monthly data, during the period from January 2012 to December 2016, the production volume prediction was developed until December 2017.

Comparing the results of two methods application - neural networks and exponential smoothing, it follows that both methods predict the trend of production volume growth, and their greatest volume will be in December 2017. However, in the course of prediction by the method of exponential smoothing, the model showed that in December 2017 the production volume will make just over 125 thousand tons, which is 5 thousand tons more than the selected neural network model showed. At the same time, during the exponential smoothing method, a larger error (5.49%) was observed on the cross-check, than within the model obtained during the application of neural networks (2.47%).

PDF

References

Afanasyev V.N., Yuzbashev M.M. Time series analysis and forecasting. Moscow: Finance and Statistics, INFRA-M, 2010. - 320 p.

Borovikov V.P. Forecasting by "STATISTICA" system in Windows environment. Fundamentals of theory and intensive computer practice: textbook / V.P. Borovikov, G.I. Ivchenko. - Moscow: Finance and Statistics, 2000. - 384 p.: ill.

Eliseeva I.I. Statistics: Textbook / I.I. Eliseeva [and others]; Ed. by I.I. Eliseeva. - Moscow: Prospekt, 2010. - 448 p.

Gareeva G.A., Grigorieva D.R., Ishimova A.Yu. The application of computer technologies in statistical methods on the example of the analysis of prices for polymer products // Scientific and Technical Herald of the Volga Region. â„–1 2017. - Kazan, 2017. - pp. 77-80.

Kruglov V.V. Fuzzy logic and neural networks. Kruglov V.V., M.I. Dly, R.Yu. Golunov. - Moscow: FIZMATLIT, 2001. - 221 p.

Orlova I.V. Economic and mathematical methods and models: computer modeling: Textbook / I.V. Orlova, V.A. Polovnikov. - M.: University textbook, 2007. - 365 p.

You are free to:

Share — copy and redistribute the material in any medium or format.
Adapt — remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

NonCommercial — You may not use the material for commercial purposes.

ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Downloads

Download data is not yet available.