Open AccessEvaluation of the linear models’ use in the forecasting investment decisions in the construction sector of the Russian Federation
Author(s) -
Inna Geraskina,
Marina Egorova
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/913/5/052008
Subject(s) - dynamism , impossibility , investment (military) , relevance (law) , russian federation , differential (mechanical device) , econometrics , economics , linear regression , distortion (music) , business , operations research , computer science , political science , engineering , economic policy , amplifier , computer network , physics , bandwidth (computing) , quantum mechanics , politics , law , aerospace engineering , machine learning
A model of multiple linear regression is constructed using the data from the resulting indicators over the past 27 years with the imperative of forecasting the ICC trend and proving the impossibility of its use in predicting the results of innovative and investment decisions in the construction sector of the economy in the Russian Federation, since it does not take into account its following important properties: stochasticity, connections’ nonlinearity, systemic potential, high dynamism of the structure and the desire for the information distortion. The relevance of the regression-differential approach in modeling the investment and construction sector and the support of strategic decision-making is substantiated.