International Journal of Scientific and Research Publications

IJSRP, Volume 10, Issue 11, November 2020 Edition [ISSN 2250-3153]


Extreme Rainfall Prediction Using Bayesian Binary Quantile Regression
      Putri Maulidina Fadilah, Aji Hamim Wigena, Anik Djuraidah
Abstract: Extreme rainfall can cause flood and bring bad impact to the agricultural sector. Indonesia has extreme rainfall in several region such as West Java, where the lowland area is at the northern region and the highland area is at the southern. The Global Circulation Models (GCM) output data can be used to get informations about rainfall. Statistical downscaling (SD) is the technique which can be used to analyze the functional relationship between local scale data (rainfall) and global scale data (GCM output) using statistical method.

Reference this Research Paper (copy & paste below code):

Putri Maulidina Fadilah, Aji Hamim Wigena, Anik Djuraidah (2020); Extreme Rainfall Prediction Using Bayesian Binary Quantile Regression; International Journal of Scientific and Research Publications (IJSRP) 10(11) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.10.11.2020.p10702
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