The processes of modelling and forecasting will be done by using R and Eviews statistical softwares. As a result of the study, it can be concluded that in terms of parameters estimation of ARIMA models, MLE gives more precise forecast for crude oil prices data while OLS gives more precise ...
The authors used the statistical software Eviews 9.5 to analyze the data and applied each step of the ARIMA process. Figure 1 depicts the returns on the ‘y’ axis and years on the ‘x’ axis; years 2007 to 2017 are termed 1 to 18. Fig. 1 Line graph for S&P BSE Sensex and S&P...
8.Helfenstein U Box-Jenkins modelling in medical research 1996(1) 9.Cardinal M.Roy R.Lamber J On the application of integer-valued time series models for the analysis of disease incidence 1999(15) 10.钟朝晖.刘达伟.张燕 重庆市主城区人口死亡率的时间序列分析[期刊论文]-中国公共卫生 2003(7) ...
The time series analysis and model construction in this paper were completed using Eviews v10. 2.2. Akaike Information Criterion (AIC) The Akaike Information Criterion provides a quantitative way to evaluate how well a model fits the data it was created from. AIC is used to compare different ...
Modelling and forecasting energy consumption in INDIA: Influence of socioeconomic variables. Energy Sources Part B Econ. Plan. Policy 2016, 11, 404–411. [CrossRef] 18. Ardakani, F.J.; Ardehali, M.M. Long-term electrical energy consumption forecasting for developing and developed economies ...