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  5. Algorithm increase exactness prognostication economic indicators on the basis of multivariable linear model due to the foresight errors model and clarification estimations of its parameters on the basis the self-weighted least-squares method

Algorithm increase exactness prognostication economic indicators on the basis of multivariable linear model due to the foresight errors model and clarification estimations of its parameters on the basis the self-weighted least-squares method

G.V. Ivanets, Y.I. Evdokimenko, O.G. Marchenko, A.A. Nakonechnyy
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Prognostication values an economic indicator is carried out on the basis study conformities to the law of their changes from statistical information. A mathematical model, representing dependence some economic indicator on the great number other economic factors, is always accompanied errors due to the not looked after casual sizes. In the article possibility increase exactness prognosis economic indicators is considered on the basis multivariable linear model due to the foresight model errors, the algorithm determination prognosis value economic indicators is offered at the set values independent other economic factors, the comparative estimation exactness prognosis is conducted.
Keywords: multivariable linear regressive model, least-squares method, self-weighted least-squares method, exactness prognostication, algorithm determination of prognosis value