Statistical Toolkit for Assessing the Financial Security of Regions

  • Authors

    • Dmitry Vladimirovich Dianov
    • Alexander Evgen'evich Suglobov
    • Elena Ivanovna Kuznetsova
    • Alevtina Viktorovna Rusavskaya
    • Andrey Vladimiro
    2018-08-13
    https://doi.org/10.14419/ijet.v7i3.15.18678
  • Cluster analysis, regression method, Dianov metrics, multidimensional grouping, financial security of regions

  • Abstract

    Each stage of the statistical research of economic and financial security requires the use of another extensive block of statistical toolkit represented by methods of general theory of statistics and mathematical statistics, including multidimensional groupings – cluster analysis, correlation and regression methods. This scientific article is devoted to such a statistical toolkit and analytical capabilities for its application in the research into the financial security of the region, where the financial security of the Moscow region, described by a range of financial and economic indicators, is the subject of statistical research.

     

     

  • References

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      [5] Dianov D.V. and Radugina E.A. (2013). Ekonomicheskaya bezopasnost Moskovskoy oblasti: upravleniye, faktory i statistika [Economic security of the Moscow region: administration, factors and statistics]. Economics, Statistics and Informatics. Bulletin of the UMO, 1, pp. 36-43.

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  • How to Cite

    Vladimirovich Dianov, D., Evgen'evich Suglobov, A., Ivanovna Kuznetsova, E., Viktorovna Rusavskaya, A., & Vladimiro, A. (2018). Statistical Toolkit for Assessing the Financial Security of Regions. International Journal of Engineering & Technology, 7(3.15), 230-232. https://doi.org/10.14419/ijet.v7i3.15.18678

    Received date: 2018-09-01

    Accepted date: 2018-09-01

    Published date: 2018-08-13