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J. Math. Comput. Sci. 12 (2022), Article ID 35

The spatio-temporal model for the Tweedie compound Poisson gamma response in statistical downscaling

Ma'rufah Hayati, Aji Hamim Wigena, Anik Djuraidah, Anang Kurnia

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.

Published
21 December 2021
Volume
12 (2022)
License
CC BY 3.0

Copyright © 2021 Ma'rufah Hayati, Aji Hamim Wigena, Anik Djuraidah, Anang Kurnia. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article

M. Hayati, A. H. Wigena, A. Djuraidah, A. Kurnia, The spatio-temporal model for the Tweedie compound Poisson gamma response in statistical downscaling, J. Math. Comput. Sci. 12 (2022), 35. https://doi.org/10.28919/jmcs/6965

BibTeX
@article{Hayati2022,
  author  = {Hayati, Ma'rufah and Wigena, Aji Hamim and Djuraidah, Anik and Kurnia, Anang},
  title   = {The spatio-temporal model for the Tweedie compound Poisson gamma response in statistical downscaling},
  journal = {J. Math. Comput. Sci.},
  volume  = {12},
  year    = {2022},
  pages   = {35},
  doi     = {10.28919/jmcs/6965}
}