Open Access
| Issue |
SHS Web Conf.
Volume 73, 2020
Innovative Economic Symposium 2019 – Potential of Eurasian Economic Union (IES2019)
|
|
|---|---|---|
| Article Number | 01020 | |
| Number of page(s) | 10 | |
| Section | Potential of the Eurasian Economic Union | |
| DOI | https://doi.org/10.1051/shsconf/20207301020 | |
| Published online | 13 January 2020 | |
- J. Vrbka, Z. Rowland, P. Šuleř, Comparison of neural networks and regression time series in estimating the development of the EU and the PRC trade balance. SHS Web of Conferences: Innovative Economic Symposium 2018 – Milestones and Trends of World Economy, 61, 01031 (2019) [Google Scholar]
- G.V. Golubova, The Statistical Analysis and Forecasting of Ukraine’s Export. Statistics of the Ukraine, 2, 6-12 (2018) [CrossRef] [Google Scholar]
- G.E.P. Box, G.M. Jenkins, Time Series Analysis. Forecasting and Control (1976) [Google Scholar]
- C. Dzitsaki, Forecast of SARIMA models: An application to unemployment rates of Greece. American Journal of Applied Mathematics and Statistics, 4, 5, 136-148 (2016) [Google Scholar]
- N. Dzitsakis, P. Klareglon, Forecasting Unemployment Rates in USA Using Box-Jenkins Methodology. Internathional Journal of Economics and Financial Issues, 8 (1), 9-20 (2018) [Google Scholar]
- L. Dvořáková, CZ GDP Prediction via neural networks and Box-Jenkins Method. SHS Web of Conferences: Innovative Economic Symposium 2017 – Strategic Partnership in International Trade, 39, 01005 (2017) [Google Scholar]
- Y. Kozak, V. Matskul, T. Shengelia, Mathematical methods and models for master of economics. Practical applications (2017) [Google Scholar]
- The State Statistics Service of Ukraine [online], Available at: http://www.ukrstat.gov.ua (2019) [Google Scholar]
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