Developing a Piecewise Linear Regression Model for a Steel Company Using Continuous Form of Maximum Consistency Method
Abstract
Developing a Piecewise Linear Regression Model for a Steel Company Using Continuous Form of Maximum Consistency Method
Incoming article date: 19.02.2024The paper presents a brief overview of publications describing the experience of using mathematical modeling methods to solve various problems. A multivariate piecewise linear regression model of a steel company was built using the continuous form of the maximum consistency method. To assess the adequacy of the model, the following criteria were used: average relative error of approximation, continuous criterion of consistency of behavior, sum of modules of approximation errors. It is concluded that the resulting model has sufficient accuracy and can be used for forecasting.
Keywords: mathematical modeling, piecewise linear regression, least modulus method, continuous form of maximum consistency method, steel company