Optimizing future mortality rate prediction of extreme temperature-related cardiovascular disease based on skewed distribution in peninsular Malaysia

The bias correction method (BCM) is useful in reducing the statistically downscaled biases of global climate models’ (GCM) outputs and preserving statistical moments of the hydrological series. However, BCM is less efficient under changed future conditions due to the stationary assumption and perfor...

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主要な著者: Mohd Esa, Aina Izzati, Abdul Halim, Syafrina, Ali, Norhaslinda, Chung, Jing Xiang, Faisal Mohd, Mohd Syazwan
フォーマット: 論文
出版事項: IWA Publishing 2022
オンライン・アクセス:http://psasir.upm.edu.my/id/eprint/102419/
https://iwaponline.com/jwcc/article/13/11/3830/91344/Optimizing-future-mortality-rate-prediction-of
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