Forecasting model of air pollution index using generalized autoregressive conditional heteroskedasticity family (GARCH).
The Air Pollution Index (API) of Malaysia has increased consistently in recent decades, becoming a serious environment issue concern. In this paper, we analyzed daily integer value time series data for API in Sarawak from January to June in 2019 using generalized autoregressive conditional heteroske...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
UTM Press
2022
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| 主題: | |
| オンライン･アクセス: | http://irep.iium.edu.my/119183/17/119183_Forecasting%20model%20of%20air%20pollution%20index.pdf http://irep.iium.edu.my/119183/ https://mjfas.utm.my/index.php/mjfas/article/view/2279 |
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