The inclusion of external variables in forecasting maize production: A dynamic regression model with ARIMA errors
Abstract This paper used time series analysis to forecast maize production by using regression with ARIMA (1, 0, 1) errors model. The aim was to examine the influence of external information in forecasting maize production in Tanzania using annual time series data from 1961 to 2022. The study examin...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Springer
2026-04-01
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| Σειρά: | Journal of the Saudi Society of Agricultural Sciences |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1007/s44447-026-00158-4 |
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