In the first of our articles devoted to the evaluation of the credit risks of Russian telecommunication agencies we have studied the structure of data, carried out the financial and economic evaluation of the objects of our study, established the relationships between the indicators and chose the most representative of them. To do this the authors used the methods of financial and correlation analyses. In this article, we use the statistical model in order to evaluate the credit risks on the basis of those chosen indicators The final article of this cycle describes the linguistic model of credit risk estimation and provides the comparison of the results obtained through both models.
- CLUSTER ANALYSIS
- DISCRIMINANT ANALYSIS
- MULTIDIMENSIONALITY OF REAL OBJECTS