Abstract:
The Statistical downscaling (SD) is a technique of analysis using statistical model which can be used to predict local scale as response based on global scale data as predictors. The problem in SD is that the predictors are usually multicollinearity which can be overcome by ridge regression.
Reference this Research Paper (copy & paste below code):
Muhammad Ihwal, Aji H. Wigena, Anik Djuraidah
(2020); Statistical Downscaling Modeling with Kernel Ridge Regression for Rainfall Prediction in West Java; International Journal of Scientific and Research Publications (IJSRP)
10(10) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.10.10.2020.p10638
