Please use this identifier to cite or link to this item:
http://essuir.sumdu.edu.ua/handle/123456789/61635
Or use following links to share this resource in social networks:
Tweet
Recommend this item
Title | Using economic-mathematical modeling in the study of the economic component of terrorism |
Authors |
Dean, J.
Syniavska, Olha Oleksandrivna Mynenko, Serhii Volodymyrovych ![]() |
ORCID |
http://orcid.org/0000-0003-3998-9031 |
Keywords |
terrorism тероризм терроризм terrorist attack терористична атака террористические атаки economic development економічний розвиток экономическое развитие cluster analysis кластерний аналіз кластерный анализ regression регресія регресс SAS |
Type | Article |
Date of Issue | 2017 |
URI | http://essuir.sumdu.edu.ua/handle/123456789/61635 |
Publisher | Sumy State University |
License | Copyright not evaluated |
Citation | Dean, J., Syniavska, O., Mynenko, S. (2017). Using economic-mathematical modeling in the study of the economic component of terrorism. SocioEconomic Challenges, 1(2), 103-109. http://doi.org/10.21272/sec.1(2).103-109.2017. |
Abstract |
The article is devoted to the study of the dependence of the level of terrorism on the economic development
of the country. The authors selected variables for the detection of dependencies, carried out a grouping on
the level of economic development based on cluster analysis, constructed models of the dependence of the
level of terrorism on the economic development of the country. The verification of the models for adequacy
made it possible to conclude that constructed models can be used to predict the level of terrorism from countries
similar to investigated countries in terms of economic development level. |
Appears in Collections: |
SocioEconomic Challenges (SEC) |
Views

1

1

1

276706684

1

138353342

1532544

1

1

3065085

2

1

1

15272817

43426987

553028016

1974150624

282776727
Downloads

1

1

1

138353342

1

418589216

2

1

3065085

1

2

3

1

1

418589216

149711617

86853973

1974150622

3065088
Files
File | Size | Format | Downloads |
---|---|---|---|
Dean_SEC_2_2017.pdf | 644.27 kB | Adobe PDF | -1102589122 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.