CONSTRUCTION OF ADDITIVE POWER REGRESSION MODELS WITH DEGREES IN THE FORM OF DISCRETE TIME FUNCTIONS

Abstract

. The article is devoted to the construction of an additive power regression model with degrees in the form of discrete time functions. An algorithm for its approximate estimation using the least squares method is proposed. The proposed estimation algorithm is demonstrated by the example of statistical data of the gross regional product in the Irkutsk region and current expenditures on basic scientific research for the period 2000-2019.