
Publication
TIME SERIES FORECASTING USING HIGH ORDER ARIMA FUNCTIONS
(STEF92 Technology, 2019-06-20, D. A. Petrusevich)
Show more
The changes of the welfare of the Russian citizens are explored in the paper. The time diapason taken into account is: 2000 ? 2018. The monthly wage index based on the Dynamic series of macroeconomic statistics of the Russian Federation data (2000-2018) has been explored. The mathematical models of the wage index of this time period have been presented. They are based on the ARIMA (p, d, q) models with p, q less than or equal to 5 (Autoregressive integrated moving average). Forecasts of these models are compared t...
Informatics2019
