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

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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Bibliographic Details
Main Authors: Aina Izzati Mohd Esa, Syafrina Abdul Halim, Norhaslinda Ali, Jing Xiang Chung, Mohd Syazwan Faisal Mohd
Format: Article
Language:English
Published: IWA Publishing 2022-11-01
Series:Journal of Water and Climate Change
Subjects:
bias correction
cardiovascular disease
extreme temperature
linear covariate
mortality
skewed distribution
Online Access:http://jwcc.iwaponline.com/content/13/11/3830

Internet

http://jwcc.iwaponline.com/content/13/11/3830

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