Tools for regression analysis and forecasting of processes in air-technical systems
UDC 004.588 BBK 74.5
The paper reviews the approaches of adequate regressions selection for observed processes and their use for solving practical problems of interpolation, extrapolation of factor analysis. The issues of forming the predictive models for the observed processes on the base of combining the parabolic regression, autocorrelation function and harmonical weight are considered. The paper reviews the author’s means of computer solutions of approximation, interpolation and extrapolation problems oriented toward educational process at engineering higher educational establishments and operating organizations of civil aviation.
Key words: observed process, regression analysis, double and multiple regression, linearization of nonlinear functions, least square method, forecasting of processes, confident limits of forecasting
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