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

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Mathematical model for identifying the leading geopolitical actor by the principal component analysis. / Pichugin, Yu. A.; Malafeyev, O. A.; Zaitseva, I. V.; Voskoboev, A. I.; Shabaev, V. V.

In: IOP Conference Series: Earth and Environmental Science , Vol. 315, No. 2, 022093, 23.08.2019.

Research output: Contribution to journal › Conference article › peer-review

Author

Pichugin, Yu. A. ; Malafeyev, O. A. ; Zaitseva, I. V. ; Voskoboev, A. I. ; Shabaev, V. V. / Mathematical model for identifying the leading geopolitical actor by the principal component analysis. In: IOP Conference Series: Earth and Environmental Science . 2019 ; Vol. 315, No. 2.

BibTeX

@article{7d61e2d1bc604d4685da3271614f124d,

title = "Mathematical model for identifying the leading geopolitical actor by the principal component analysis",

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.",

keywords = "Biotechnology, Environmental engineering, regression analysis, Linear regression models, Principal Components, principal component analysis",

author = "Pichugin, {Yu. A.} and Malafeyev, {O. A.} and Zaitseva, {I. V.} and Voskoboev, {A. I.} and Shabaev, {V. V.}",

year = "2019",

month = aug,

day = "23",

doi = "10.1088/1755-1315/315/2/022093",

language = "English",

volume = "315",

journal = "IOP Conference Series: Earth and Environmental Science",

issn = "1755-1307",

publisher = "IOP Publishing Ltd.",

number = "2",

note = "International Scientific Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH 2019 ; Conference date: 20-06-2019 Through 22-06-2019",

}

RIS

TY - JOUR

T1 - Mathematical model for identifying the leading geopolitical actor by the principal component analysis

AU - Pichugin, Yu. A.

AU - Malafeyev, O. A.

AU - Zaitseva, I. V.

AU - Voskoboev, A. I.

AU - Shabaev, V. V.

PY - 2019/8/23

Y1 - 2019/8/23

N2 - 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.

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

UR - http://www.scopus.com/inward/record.url?scp=85072835615&partnerID=8YFLogxK

U2 - 10.1088/1755-1315/315/2/022093

DO - 10.1088/1755-1315/315/2/022093

M3 - Conference article

AN - SCOPUS:85072835615

VL - 315

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

SN - 1755-1307

IS - 2

M1 - 022093

T2 - International Scientific Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH 2019

Y2 - 20 June 2019 through 22 June 2019

ER -

ID: 48768685