Author:
Darmanyan A P,Bogdanov S I
Abstract
Abstract
The potato yield statistics analysis and modeling in the Russian Federation according to the Federal State Statistics Service data for the period 2000-2020 was carried out. Based on the analysis of the autocorrelation function (Acf) as a mathematical model for modeling potato yield, the choice of a linear autoregressive model of the first order is justified. By using the multiple regression and correlation analysis methods, the parameters of the model were found, their statistical significance was proved, and the potato yield calculations proved the found model correspondence to real data for the period of 2002-2020.
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