SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL FOR PRECIPITATION TIME SERIES
Article Properties
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DOI (url)
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Publication Date2012/04/01
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Indian UGC (journal)
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Citations24
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Chang
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Deep Learning Model Effectiveness in Forecasting Limited-Size Aboveground Vegetation Biomass Time Series: Kenyan Grasslands Case Study | Agronomy |
| 2024 | |
| Using the SARIMA model to predict the trends of evapotranspiration and runoff in the Muringato river basin, Kenya | Stochastic Environmental Research and Risk Assessment |
| 2023 | |
Veneto Region dementia-related mortality during the COVID-19 pandemic: multiple causes of death and time series analysis | European Journal of Public Health |
| 1 | 2023 |
Monthly stream temperatures along the Danube River: Statistical analysis and predictive modelling with incremental climate change scenarios | Journal of Hydrology and Hydromechanics |
| 2023 | |
A Hybrid SARIMA‐LSTM Model for Air Temperature Forecasting | Advanced Theory and Simulations |
| 4 | 2022 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 6
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Application of stochastic models in predicting Lake Malawi water levels and was published in 2017. The most recent citation comes from a 2024 study titled Deep Learning Model Effectiveness in Forecasting Limited-Size Aboveground Vegetation Biomass Time Series: Kenyan Grasslands Case Study. This article reached its peak citation in 2018, with 6 citations. It has been cited in 21 different journals, 23% of which are open access. Among related journals, the Stochastic Environmental Research and Risk Assessment cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.