Keyword: «cluster analysis»

Financial managers can apply economic and mathematical method, which is called cluster analysis, for ef-fective analyis and management of accounts receivable counterparties. When using cluster analysis procedures dismemberment of objects together on a qualitatively homogeneous groups performed at the same time a large number of features. This method allows selecting and effectively managing individual debtor clusters.

In the article the analysis of the dynamics of basic indices is carried out, that characterize the market for new constructions and the market for the second dwelling of Penzenskaya Oblast' are built models for predicting the mean price of one square meter of dwelling. Model for predicting the introduction of dwelling taking into account dummy variables is built and is executed the short-term forecast of the indices in question. The uniform regions of region on the basis of the indices of the housing conditions for population are revealed and clusters with the levels of housing development are determined.

The paper deals with multidimensional statistical analysis at the study of crimes accomplished by teenagers. The system of indexes characterizing causations of crime among minor on territory of the Central Federal District helped to conduct classification of the region. Factor analysis singled out a latent factor influencing on the index of criminality. The prognosis of the expected number of crimes is given at direct participation of teenagers for future three years.

The paper deals with the results of clustering the regions of the Volga federal region according to the social and economic indices interpretation to clusters are given. Discriminators for determining the belonging “new” regions with the clusters are constructed. The belonging of separate region with the cluster with the average level of social and economic indices is revealed. The econometric model of the volume of fixed asset formation depending on gross regional product is obtained.

A comparative analysis of the Russian market of direct sales and the German market, revealed the difference in the level of sales volume per distributor and the number of distributors on the market. Proposed two hypotheses these facts. To confirm the hypotheses, the cluster analysis one of the distribution network and comparative analysis of cluster indicators.