Time series modeling and forecasting of the consumer price index Bandar Lampung

Kharimah, Faiga and Usman, Mustofa and Widiarti, Widiarti and Elfaki, Faiz Ahmed Mohamed (2015) Time series modeling and forecasting of the consumer price index Bandar Lampung. Science International Lahore, 27(5) (5). pp. 4619-4624. ISSN 1013-5316

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Abstract

The aims of this study are to find the best Time Series model for forecasting the Consumer Price Index (CPI). To find the best model, first we evaluate the stationary of the data by using time series plot, Autocorrelation Function (ACF), and Unit root Test. Then the Time Series model was found by using ACF and Partial Autocorrelations Function (PACF). The best model was found by using the criteria: Mean Squares Error (MSE), Akaike Information Criteria (AIC) and Bayesian Information Criterion (BIC. Based on this criteria the best modelfound in this paper is ARIMA (1,1,0) compare to ARIMA (0,1,1), and ARIMA(1,1,1).

Item Type:	Article (Journal)
Additional Information:	4925/46113
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Science
Depositing User:	Dr faiz elfaki
Date Deposited:	17 Dec 2015 16:59
Last Modified:	08 Mar 2017 09:21
URI:	http://irep.iium.edu.my/id/eprint/46113

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