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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI ESTIMASI: Journal of Statistics and Its Application
Raupong Raupong
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Mathematics

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Journal : ESTIMASI: Journal of Statistics and Its Application

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Performa Model Statistical Downscaling dengan Peubah Dummy Berdasarkan K-Means dan Average Linkage Fitri Annisa; Raupong Raupong; Sitti Sahriman
ESTIMASI: Journal of Statistics and Its Application Vol. 4, No. 2, Juli, 2023 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v4i2.12658

Abstract

Climate change that occurs is often used to predict future climate conditions. For future climate predictions it is only possible to use climate models. One of the climate models used to predict climate conditions is the Global Circulation Models (GCM). GCM represents global climatic conditions but not on a regional or local scale. The approach that has been widely used to bridge the difference in scale is statistical downscaling. Large-scale GCM data allows for multicollinearity. estimation liu regression and principal component regression is used to solve the multicollinearity problem. In addition, dummy variables based on k-means and average linkage are used in the model to overcome the heterogeneous variance of residue. There are 4 dummy variables in the cluster technique. In this paper, Liu k-means regression model parameter estimation method is the best model.
Co-Authors A. Muthiah Nur Angriany Anisa Anisa Anna Islamiyati Bambang Widjanarko Otok Fitri Annisa Georgina Maria Tinungki Hasrina Hasrina Hasruni Satya Taruma Ilyas Ilyas M. Sjahid Akbar Nurmiati Nurmiati Nurdin Saleh AF Siswanto Siswanto Sitti Sahriman Try Widyaiswara Hairil