Bychkov. Yu. A. Comparison of the accuracy of two methods of estimation of parameters when filling in the gaps in the data of a gas producing enterprise // 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. 3(15). P. 7-13. DOI: 10.26731/2658-3704.2022.3(15).7-13 [Accessed 15/10/22]

10.26731/2658-3704.2022.3(15).7-13

The article deals with the problem of filling gaps in data arrays. To solve the problem, it is proposed to use a gap filling algorithm based on regression analysis tools. Restoring the values of elements that have gaps is carried out by building several linear regression models using the method of least modules and the continuous form of the method of maximum consistency. The construction of linear regression models is organized using specially developed software. The conclusion is made about the high accuracy of the constructed models and the efficiency of the gap filling algorithm used in the work.

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14. Certificate of state registration of the computer program No. 2022618082 Russian Federation. The program for optimizing the continuous criterion for the consistency of behavior in the construction of regression models: No. 2022617381 : Appl. 04/19/2022 : publ. 04/28/2022 / Noskov S.I., Bychkov Yu.A.; applicant Federal State Budgetary Educational Institution of Higher Education "Irkutsk State Transport University".