MULTIVARIATE STATISTICAL ANALYSIS OF THE INFLUENCE OF GLOBAL THREATS ON THE SECURITY OF COUNTRIES OF THE WORLD

被引：2

作者：

Pomerantseva, T. N. ^{[1
]}

Boldak, A. A. ^{[2
]}

机构：

[1] Syst Anal & Decis Inc, Brisbane, CA 94005 USA

[2] Nat Tech Univ KPI, Kiev, Ukraine

来源：

CYBERNETICS AND SYSTEMS ANALYSIS | 2010年 / 46卷 / 02期

关键词：

global threat; stable development; Minkowsky norm; correlation analysis; cluster analysis; principal component analysis;

D O I：

10.1007/s10559-010-9198-x

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Methods of multivariate statistical analysis are applied to the investigation of the influence of global threats on the security of countries and regions of the world. The use of the principal component analysis method made it possible to reveal three latent factors required for the comparative analysis of the difference between countries depending on the level of their vulnerability to and protection from global threats. The method of weighted local correlation is modified, which allows one to analyze the dependence of the level of security of various countries of the world on separate global threats in terms of Minkowsky norm.

引用

页码：200 / 210

页数：11

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