Change point-driven interrupted time series and machine learning models for forecasting Indian food grain production
This study develops interrupted models to forecast Indian food grain production under the influence of an intervention event. A Pettitt test identified 1987 as a significant change point (p < 0.0001), indicating a structural shift in the agricultural production system. The study employs interrupted...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/174392 |
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