Abstract
This research aims to develop a Spatio-temporal generalized linear mixed model with the h-likelihood estimation method for Statistical Downscaling modeling with the Tweedie compound Poisson Gamma distribution which can produce estimates for fixed effects, random effects, and variance components simultaneously. The results showed that the proposed model has a good performance characterized by the lowest root mean square error prediction and able to reduce the variety of random effects caused by spatial and temporal dependencies.
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