PREDICTION OF INTERNAL IMMIGRATION IN RUSSIA
The article was considered and built models of growth curves (linear, parabolic, logarithmic trends), adaptive models (one-parameter model of linear growth of brown's, Holt's two-parameter model, the three-parameter model of Box-Jenkins, exponential smoothing) and regression model and integrated moving average (ARIMA) based on the time series dynamics of the factors of migration growth. Based on the evaluation of the adequacy and quality was chosen as the most suitable model. It was built forecast internal migration in Russia from 2014 - 2016 and is designed as a predictive model.