Malaysia crude oil production estimation: An application of ARIMA model
Monthly Malaysia crude oil production data for the period of January 2005 to May 2010 were analyzed using time-series method called Autoregressive Integrated Moving Average (ARIMA) model. Autocorrelation and partial autocorrelation functions were calculated to examine the stationarity of the data. T...
| Published in: | CSSR 2010 - 2010 International Conference on Science and Social Research |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
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2010
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959632376&doi=10.1109%2fCSSR.2010.5773729&partnerID=40&md5=ec80ad9800513549e19f3f8a5102c137 |
| Summary: | Monthly Malaysia crude oil production data for the period of January 2005 to May 2010 were analyzed using time-series method called Autoregressive Integrated Moving Average (ARIMA) model. Autocorrelation and partial autocorrelation functions were calculated to examine the stationarity of the data. Then, an appropriate Box-Jenkins ARIMA model was fitted. Validity of the model was tested using Box-Pierce statistic and Ljung-Box statistic techniques. The predictability of future crude oil production as a forecast is measured for three leading months. © 2010 IEEE. |
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| DOI: | 10.1109/CSSR.2010.5773729 |