Generalized space-time autoregressive (GSTAR) modeling with seemingly unrelated regression (SUR) for forecasting inflation data in five cities on the island of Sumatra-Reference-Cited by-同舟云学术

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Generalized space-time autoregressive (GSTAR) modeling with seemingly unrelated regression (SUR) for forecasting inflation data in five cities on the island of Sumatra

Published:2024 Issue: Volume:2970 Page:030008
ISSN:0094-243X
Container-title:AIP Conference Proceedings
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Author:

Suciati Indah,Widiarti ,Usman Mustofa,Warsono ,Wamiliana

Publisher

AIP Publishing

Reference30 articles.

1. Badan Pusat Statistik. 2022. Inflasi, Badan Pusat Statistik. Accessed June 4, 2022 from https://www.bps.go.id/subject/inflasi.html.

2. Sayekti, N.W. 2022. Lonjakan Inflasi Tahun 2022 dan Upaya Mengatasinya. Info Singkat. 14(8), pp. 13–18.

3. Ardianto, M. P. 2014. Pemodelan Generalized Space Time Autoregressive (GSTAR) pada Tiga Periode Waktu (Studi Kasus Inflasi di Lima Kota Besar di Pulau Jawa). Jurnal Mahasiswa Statistik. 2(4), pp. 265–268.

4. Fadlurohman, A., Utami, T.W., & Wasono, R. 2020. Generalized Space Time Autoregressive Modeling with Variable Exogenous (GSTAR-X) (Case Study: Inflation in Six Cities of Central Java), pp. 26–36. Prosiding Seminar Nasional Publikasi Hasil-Hasil Penelitian dan Pengabdian Masyarakat, Semarang.

5. Consistency and asymptotic normality of least squares estimators in generalized STAR models

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