Spatio-Temporal Analysis Based on One-Sided Dynamic Principal Components
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Publisher
Apex Publishing
Link
https://jss.irstat.ir/article-1-836-en.pdf
Reference20 articles.
1. Alonso, A. M., and Peña, D. (2019), Clustering Time Series by Linear Dependency, Statistics and Computing, 29(4), 655-676.
2. Ansari, M. Y., Ahmad, A., Khan, S. S., Bhushan, G., & Mainuddin. (2020), Spatiotemporal Clustering: A Review, Artificial Intelligence Review, 53, 2381-2423.
3. Aravena, J. C., & Luckman, B. H. (2009), Spatio‐Temporal Rainfall Patterns in Southern South America, International Journal of Climatology: A Journal of the Royal Meteorological Society, 29(14), 2106-2120.
4. Bordi, I., Fraedrich, K., Jiang, J. M., & Sutera, A. (2004), Spatio-Temporal Vari ability of Dry and Wet Periods in Eastern China, Theoretical and Applied Climatology, 79, 81-91.
5. Box, G. (2013), Box and Jenkins: Time Series Analysis, Forecasting and Control, In A Very British Affair: Six Britons and the Development of Time Series Analysis During the 20th Century (pp. 161-215), London: Palgrave Macmillan UK.
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