Methods of forecasting and its varieties
Keywords:
Forecasting, model, classical methods, risk assessment, demandAbstract
This study presents information on the main approaches, analysis and methods of forecasting. In the process of combining different methods, research and analytical analysis of key indicators is carried out, taking into account both classical and optimization methods in the process of data analysis and processing.
References
De Gooijer J. G., Hyndman R. J. 25 years of time series forecasting. International Journal of Forecasting. 2006. Vol. 22, № 3. P. 443–473. DOI: 10.1016/j.ijforecast.2006.01.001.
Santra R. Introduction to ARIMA Model. Medium. 06.12.2023. URL: https://medium.com/@ritusantra/introduction-to-arima-model-c8925103f4c7
Fore-casting: theory and practice / F. Petropoulos, D. Apiletti, V. Assimakopoulos et al. International Journal of Forecasting. Vol. 38(3). P. 705–871.
M4 Competition – University of Nicosia. University of Nicosia – The largest university in Cyprus. 28.11.2024. URL: https://www.unic.ac.cy/iff/research/forecasting/m-competitions/m4/
Abas Khan, Mohammad Sarwar Mir Forecasting. 2021. URL: https://www.researchgate.net/publication/ 357166874_Forecasting 6. Sanders N. Forecasting Fundamentals. Business Expert Press, 2016.