The method choice of mathematical model dependence economic indicators is considered from other factors on the basis statistical information in the conditions partial vagueness. It is necessary at the choice model, that it was adequate the phenomenon which is studied, and enough well represented the real situation, and a casual constituent model was the least. If a model form is scienter unknown, at its choice as a criterion take the least value sum of squares casual constituents from statistical data, which the most coefficient determinacy among the possible forms models corresponds. As models can be described both linear and nonlinear functions, before research all of linear functions must be led to the linear kind.
mathematical model, model adequacy, coefficient of determinacy, sum squares casual constituents
"Metodyka vyboru matematychnoi modeli zalezhnosti ekonomichnykh pokaznykiv vid inshykh chynnykiv na osnovi statystychnykh danykh v umovakh chastkovoi nevyznachenosti" ,
Information Processing Systems,