статистические методы

Introduction. Crediting of people has a firm position in last decade, but now there is a problem of the granted loans quality. So the study of the credit behavior, its mechanisms and structures is actual question. In article emphasis was placed on the methodological part of the problem, it was examined various statistical and econometric tools to study of the credit behavior. Methods. Using binary choice model determinants of credit behavior were identified, and a typical portrait of average borrower was made.

Introduction. Possibilities of application ARIMA-models to analysis and forecasting of demographic time series were considered in the article. Foreign studies had shown that the ARIMA-models give good results for forecasting indicators such as population, birth rates and death rates, life expectancy, along with the traditional demographic methods (cohort-component approach). Research technique.

The paper considers the theoretical basis and methodological support to the integrated application of statistical techniques in value analysis.