Ansari Saleh Ahmar, - and Suryo Guritno, - and Abdurakhman, - and Alimuddin Tampa, - and Dassa, Awi Modeling Data Containing Outliers using ARIMA Additive Outlier (ARIMA-AO). IOP Conf. Series: Journal of Physics: Conf. Series 954 (2018) 012010 1234567890 ‘’“” doi :10.1088/1742-6596/954/1/012010.
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Abstract
Abstract. The aim this study is discussed on the detection and correction of data containing the additive outlier (AO) on the model ARIMA (p, d, q). The process of detection and correction of data using an iterative procedure popularized by Box, Jenkins, and Reinsel (1994). By using this method we obtained an ARIMA models were fit to the data containing AO, this model is added to the original model of ARIMA coefficients obtained from the iteration process using regression methods. In the simulation data is obtained that the data contained AO initial models are ARIMA (2,0,0) with MSE = 36,780, after the detection and correction of data obtained by the iteration of the model ARIMA (2,0,0) with the coefficients obtained from the regression Z
Item Type: | Article |
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Subjects: | KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN |
Divisions: | FAKULTAS MIPA |
Depositing User: | Pustakawan Amaluddin Zaihal |
Date Deposited: | 19 Jun 2023 14:58 |
Last Modified: | 30 Jun 2023 09:35 |
URI: | http://eprints.unm.ac.id/id/eprint/30455 |
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