Abstract
The paper considers the methodology of forecasting the level of inflation in Russia with the help of analytical platform Deductor Studio. In solving the problem, the mechanisms of data purification from noises and anomalies were applied, which ensured the quality of forecast model construction and receipt of forecast values for five months in advance. The principle of forecasting the time series was also demonstrated: import, seasonal detection, cleaning, smoothing, construction of forecast model, and forecasting the inflation rate for five months ahead.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Mathematical Models and Methods in Applied Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.