Mathematical model for identifying the leading geopolitical actor by the principal component analysis

Yu. A. Pichugin, O. A. Malafeyev, I. V. Zaitseva, A. I. Voskoboev, V. V. Shabaev

Research output

Abstract

In this paper, an approach is developed that allows one to solve an applied problem of identifying hidden factors of geopolitical influence. It uses the principal component analysis. The solution of the problem is based on the principal components and the method of informative selection of the components of the response of the linear regression model. A numerical example is given on the basis of data on the cost of armament of a number of leading countries.

Original languageEnglish
Article number022093
JournalIOP Conference Series: Earth and Environmental Science
Volume315
Issue number2
DOIs
Publication statusPublished - 23 Aug 2019
EventInternational Scientific Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH 2019 - Krasnoyarsk
Duration: 20 Jun 201922 Jun 2019

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principal component analysis
cost
armament
method

Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

Cite this

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abstract = "In this paper, an approach is developed that allows one to solve an applied problem of identifying hidden factors of geopolitical influence. It uses the principal component analysis. The solution of the problem is based on the principal components and the method of informative selection of the components of the response of the linear regression model. A numerical example is given on the basis of data on the cost of armament of a number of leading countries.",
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AU - Malafeyev, O. A.

AU - Zaitseva, I. V.

AU - Voskoboev, A. I.

AU - Shabaev, V. V.

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AB - In this paper, an approach is developed that allows one to solve an applied problem of identifying hidden factors of geopolitical influence. It uses the principal component analysis. The solution of the problem is based on the principal components and the method of informative selection of the components of the response of the linear regression model. A numerical example is given on the basis of data on the cost of armament of a number of leading countries.

KW - Biotechnology

KW - Environmental engineering

KW - regression analysis

KW - Linear regression models

KW - Principal Components

KW - principal component analysis

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JO - IOP Conference Series: Earth and Environmental Science

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