APPLICATION OF THE CONTINUOUS FORM OF THE MAXIMUM CONSISTENCY METHOD
FOR CONSTRUCTING A REGRESSION MODEL OF GAS PRODUCTION 

Sergey I. Noskov, Doctor of technical sciences, professor, professor of the sub-department of information systems and information protection, Irkutsk State Transport University (15 Chernyshevskogo street, Irkutsk, Russia), E-mail: sergey.noskov.57@mail.ru
Yuriy A. Bychkov, Postgraduate student, Irkutsk State Transport University (15 Chernyshevskogo street, Irkutsk, Russia), E-mail: bychkov_ya@mail.ru 

Background. Regression analysis methods are an effective tool for studying the patterns of functioning and development of complex systems of various nature. The purpose of the study is to identify the model dependence of the volume of gas production on the listed technological characteristics. Materials and methods. To achieve this goal, a mathematical apparatus for solving linear programming problems was used. Results. The paper provides a brief description of the technological facility operated in the gas industry of the fuel and energy complex of the Irkutsk region. The dependent and independent variables of the regression model of gas production are determined. Using the modified method of maximum consistency in continuous form and the method of least modules, regression models were constructed that describe the process of gas production at the object under study. Conclusions. Some directions of practical application of the constructed regression model are determined. 

regression model, linear programming problem, adequacy criteria, gas production, technological process 

Noskov S.I., Bychkov Yu.A. Application of the continuous form of the maximum consistency method for constructing a regression model of gas production. Modeli, sistemy, seti v ekonomike, tekhnike, prirode i obshchestve = Models, systems, networks in economics, technology, nature and society. 2022;(4):94–103. (In Russ.). doi:10.21685/2227-8486-2022-4-6