Advanced Multivariate Time Series Forecasting Models
Miss Lei Wang1 Show affiliations
- Wichita State University, United States
Journal of Mathematics and Statistics, Volume 14, Issue 1, pp. 253–260 · doi.org/10.3844/jmssp.2018.253.260
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.
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Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
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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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