Malaysia crude oil production estimation: An application of ARIMA model

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...

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Published in:CSSR 2010 - 2010 International Conference on Science and Social Research
Main Author: Yusof N.M.; Rashid R.S.A.; Mohamed Z.
Format: Conference paper
Language:English
Published: 2010
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959632376&doi=10.1109%2fCSSR.2010.5773729&partnerID=40&md5=ec80ad9800513549e19f3f8a5102c137
id 2-s2.0-79959632376
spelling 2-s2.0-79959632376
Yusof N.M.; Rashid R.S.A.; Mohamed Z.
Malaysia crude oil production estimation: An application of ARIMA model
2010
CSSR 2010 - 2010 International Conference on Science and Social Research


10.1109/CSSR.2010.5773729
https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959632376&doi=10.1109%2fCSSR.2010.5773729&partnerID=40&md5=ec80ad9800513549e19f3f8a5102c137
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.


English
Conference paper
author Yusof N.M.; Rashid R.S.A.; Mohamed Z.
spellingShingle Yusof N.M.; Rashid R.S.A.; Mohamed Z.
Malaysia crude oil production estimation: An application of ARIMA model
author_facet Yusof N.M.; Rashid R.S.A.; Mohamed Z.
author_sort Yusof N.M.; Rashid R.S.A.; Mohamed Z.
title Malaysia crude oil production estimation: An application of ARIMA model
title_short Malaysia crude oil production estimation: An application of ARIMA model
title_full Malaysia crude oil production estimation: An application of ARIMA model
title_fullStr Malaysia crude oil production estimation: An application of ARIMA model
title_full_unstemmed Malaysia crude oil production estimation: An application of ARIMA model
title_sort Malaysia crude oil production estimation: An application of ARIMA model
publishDate 2010
container_title CSSR 2010 - 2010 International Conference on Science and Social Research
container_volume
container_issue
doi_str_mv 10.1109/CSSR.2010.5773729
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959632376&doi=10.1109%2fCSSR.2010.5773729&partnerID=40&md5=ec80ad9800513549e19f3f8a5102c137
description 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.
publisher
issn
language English
format Conference paper
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record_format scopus
collection Scopus
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