The Dissertation thesis is dedicated to elaboration of elements of mathematical software for dealing information systems realizing the procedure of forecasting models construction based on analysis of statistic properties of dynamic series. Mathematical forecasting model of stochastic dynamic series with the consideration of a forecast error, synthesized based on the research of methods of exponential smoothing and their modifications, autoregress integral moving average (ARIMA) and under conditions of disturbing factors has been received in the dissertation for the first time. For the first...