Дата поступления: 
13.05.2022
Библиографическое описание статьи: 

Bazilevskiy M.P., Oydopova A.B. Modeling of emissions of pollutants into the atmosphere of the Zabaikalsky kray // Informacionnye tehnologii i matematicheskoe modelirovanie v upravlenii slozhnymi sistemami: ehlektronnyj nauchnyj zhurnal [Information technology and mathematical modeling in the management of complex systems: electronic scientific journal], 2022. No. 2(14). P. 8-18. DOI: 10.26731/2658-3704.2022.2(14).8-18 [Accessed 24/06/22]

Год: 
2022
Номер журнала (Том): 
УДК: 
519.862.6
DOI: 

10.26731/2658-3704.2022.2(14).8-18

Файл статьи: 
Страницы: 
8
18
Аннотация: 

The article is devoted to the problem of constructing regression models of the influence of the number of livestock and poultry, as well as the volume of industrial production, on the level of atmospheric air pollution in the Zabaikalsky kray. The traditional model of multiple linear regression is constructed using the least squares method. A model of multiple modular linear regression is proposed. It shows how the areas of definition of parameters contained under the module sign are located. Based on this, an algorithm for approximate estimation of modular regression using the least squares method has been developed. This algorithm was implemented as a script for the Gretl econometric package. With the help of the developed program, a model of modular linear regression was built, which turned out to be better in terms of the coefficient of determination than multiple regression. The interpretation of multiple and modular regressions is given.

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