Implementation of Bootstrap ARIMA Method to Forecasting Gross Domestic Products (GDP)

Ahmar, Ansari Saleh and Annas, Suwardi and Seniwati MS, TP. Nurhikmah (2018) Implementation of Bootstrap ARIMA Method to Forecasting Gross Domestic Products (GDP). In: International Conference on Advance & Scientific Innovation 2018 (ICASI 2018), 23-24 April 2018, Medan, Indonesia.

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Abstract

This study examines the application of bootstrap ARIMA method to forecasting the GDP of West Sulawesi Province. GDP data is time series data so to predict GDP of West Sulawesi Province for some future period used time series analysis technique. One method often used in time series modeling in forecasting data is ARIMA Box-Jenkins. A nonparametric approach that is free of assumptions, one of which is the bootstrap method. The bootstrap method is a computer-based method that is very potential to be used on accuracy problems where the method is based on data simulations for statistical inference purposes. From result of research obtained that model of GDP data is ARIMA Bootstrap (0,2,1).

Item Type:	Conference or Workshop Item (Paper)
Subjects:	KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions:	KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN KARYA ILMIAH DOSEN
Depositing User:	S.T., M.T. Faruq Ratuhaji
Date Deposited:	31 Dec 2020 02:07
Last Modified:	31 Aug 2021 16:28
URI:	http://eprints.unm.ac.id/id/eprint/18869

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