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 time, mathematical forecasting models have been obtained for
foreign exchange currency rates for increasing and declining
portions of the temporary series with the assistance of NN, which
together with the results of the technical analysis decreased the
value of market risks. Scientific results, received in the
dissertation theses are practically applied in scientifically
research institute "NIPI ASU TRANSGAZ" and at the Kharkiv
Forex-Club, as well as when developing mathematical software for
automatic control systems (ACS) for many subject fields.
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