Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/123456789/4864
Title: Prediction of World Crude Oil Price with the Method of Missing Data
Keywords: World Crude Oil Price
Forecast
Missing Data
EM Algorithm
Time Series
Issue Date: 30-May-2013
Publisher: Canadian Research & Development Center of Sciences and Cultures
Description: As the fluctuation of oil price plays an important role in global political and economic situation, forecasting the price of oil is significant. In this paper, we analyze the data of the world crude oil price using ideas of treating with the missing data, i.e. we take the predictor as missing data and use the EM algorithm to establish time series model. We give the predictive values of weekly world crude oil price of January and February in 2011 using the data of 2009 and 2010. Meanwhile, we found that the method based on missing data is more effective than normal time series method by comparing the predictive value with reality data. In addition, this method is also applicable to the case that historical observations have missing data. <br /><strong>Key words:</strong> World Crude Oil Price; Forecast; Missing Data; EM Algorithm; Time Series
URI: http://koha.mediu.edu.my:8181/jspui/handle/123456789/4864
Other Identifiers: http://cscanada.net/index.php/ans/article/view/1776
http://www.doaj.org/doaj?func=openurl&genre=article&issn=17157862&date=2011&volume=4&issue=1&spage=14
Appears in Collections:Science General

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