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- W2414573654 abstract "Data that has been used to forecast in this study is the total number of unemployment in Malaysia. The trend and changes of monthly total unemployment are identified and observed. The total number of unemployment from January 1988to June 2009 is used for data analysis. In the meanwhile, the total number of unemployment from July 2009 to December 2009 is used for accuracy checking. The data set is analyzed by using Autoregression Moving Average (ARMA) method whichis compared to the Box-Jenkins approach. Both of these two models are voted out for the of the best model via eight selection criteria (8SC) by determining the lowest values. The model determined by emphasizing the elimination of the lags with the most insignificant coefficient is superior to alternative model suggested by Box-Jenkins approach. Furthermore, mean absolute percentage error (MAPE) examines the consistency and precision of the forecasting technique used. The forecast result shows that the ARMA model is only suitable to forecast in a short term of period." @default.
- W2414573654 created "2016-06-24" @default.
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- W2414573654 date "2010-05-01" @default.
- W2414573654 modified "2023-09-24" @default.
- W2414573654 title "Estimating total number of unemployment using ARMA model" @default.
- W2414573654 hasPublicationYear "2010" @default.
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