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

A. V. Karaulova, M. Bazilevskiy
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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.
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以离散时间函数的形式构造带度数的可加性幂回归模型
. 本文以离散时间函数的形式建立了一个带度数的可加性幂回归模型。提出了一种用最小二乘法对其进行近似估计的算法。以伊尔库茨克地区生产总值统计数据和2000-2019年基础科学研究支出为例,对本文提出的估算算法进行了验证。
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