Abstract
In this study, the focus is to collect and summarize various advanced forecasting models for multivariate time series dataset. We have discussed about the inherent forecasting strengths and weaknesses related to these time series modelings. Also, the main section deal with the experience of using such data in econometric analysis. Besides, the implementation of SAS and R softwares improve the parameter estimation and forecasting accuracy. Eventually, we evaluated these forecasting models by different criterions and select the best one for the future tendency of land market value.
Cite
CITATION STYLE
Wang, M. L. (2018). Advanced Multivariate Time Series Forecasting Models. Journal of Mathematics and Statistics, 14(1), 253–260. https://doi.org/10.3844/jmssp.2018.253.260
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