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• pdf  295.958kb doc 295.958kb Views: 2250 Date: 30.06.2011
  Uzdenov U. A.

  MATHEMATICAL MODELS AND TOOLS OF COMPLEX ESTIMATION OF FINANCIAL AND ECONOMIC CONDITION OF REGION (ON THE EXAMPLE OF KARACHAEVO-CIRCASSIAN REPUBLIC)

  01.00.00 Physical-mathematical sciences

  Tags: karachaevo-circassian republic кластерный the analysis the multivariate statistical analysis fuzzy production systems financial and economic condition of region
  Description

  The article is devoted to development of effective and adequate mathematical models of an estimation of a financial and economic condition of region and meeting program toolkit with use of multivariate statistical models and fuzzy logic systems

• pdf  407.647kb doc 407.647kb Views: 2511 Date: 30.06.2011
  Hananaev A. G. Kovalenko A. V. Zaikina L. N.

  ANALYSIS OF FINANCIAL AND ECONOMIC STATE OF CONSTRUCTION ENTERPRISES WITH THE METHODS OF MULTIVARIATE STATISTICAL ANALYSIS

  01.00.00 Physical-mathematical sciences

  Tags: external processing learning sample the multivariate statistical analysis instraction sample software system for classification of the equation building branch financial and economic condition financial performance
  Description

  In the article an effective system of an estimation of a financial and economic status of the factories of a building sector of Krasnodar region (Armavir district), based on use of methods of the multidimensional statistical analysis is introduced. The programmatic complex "FAP-stroi", including MS Excel plug-in, macros of «Statistica 6» and exterior processing of «1С: Enterprise 8» is built

• pdf  380.597kb doc 380.597kb Views: 2877 Date: 29.06.2010
  Kovalenko A. V. Urtenov M. K. Zaikina L. N.

  CLUSTER ANALYSIS OF THE FINANCIAL AND ECONOMIC CONDITION OF BUILDING BUSINESS BRANCH

  08.00.00 Economic sciences

  Tags: кластерный the analysis krasnodar region the multivariate statistical analysis neural networks networks of khohonen building branch subtractive clustering financial and economic condition of enterprises
  Description

  The article is devoted to the use of methods of cluster analysis, such as multivariate statistical, indistinct and neuronet, for an estimation of financial and economic condition of middle and small enterprises of building branch of Krasnodar region, and also to revealing of the reasons and laws of occurrence and development of crisis at these enterprises