Aji P, Krisnawan and Widiarti, Widiarti and Kurniasari, Dian and Warsono, Warsono (2020) Pemodelan Data Curah Hujan dengan Model Generalized Space Time Autoregressive (GSTAR). In: SN-SMIAP 5 2019 FMIPA UNILA, 24 Oktober 2019, FMIPA UNILA.

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Abstract

Space Time Autoregressive (STAR) is a model that can be used to analyze time series data that have a relationship between time and location. However STAR models tend to be inflexible when faced with location that have heterogeneous characteristic. To overcome this weaknes, the Generalized Space Time Autoregressive (GSTAR) model is used, which is a STAR model, assuming that the autoregressive parameters and space-time parameters don’t have be the same value at each location. The purpose of this study is to modeling rainfall data in Pringsewu Regency(Z1), South Lampung Regency(Z2), and South Lampung Regency using the GSTAR model. By using Distance Invers weighting matrix, the model obtained is GSTAR (31) I(0).

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Q Science > QA Mathematics
Divisions:	Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika
Depositing User:	WIDIARTI
Date Deposited:	29 Apr 2020 01:59
Last Modified:	29 Apr 2020 01:59
URI:	http://repository.lppm.unila.ac.id/id/eprint/19359

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