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- W4282554090 abstract "This research aims to study and select the most suitable forecasting model for forecasting the export value of SMEs to Saudi Arabia using time series analysis techniques. This paper has considered three models: Moving Average, Decomposition, and Winter’s Method. The spread case data of the export value of customs tariffs in sections 1-4 collected is for 60 months from January 2017 to December 2021. Data of the first 48 months is taken for model training and the last 12 months is used for the validation model. For evaluation purposed mean absolute deviation (MAD) and mean squared deviation (MSD). The result showed that Decomposition had the highest performance, Section 1 has MAD equal 0.0727 and MSD equal 0.0807, Section has 2 MAD equal 0.1443 and MSD equal 0.3010, Section 3 has MAD equal 0.1443 and MSD equal 0.3010, and Section 4 has MAD equal 0.1443 and MSD equal 0.3010, respectively." @default.
- W4282554090 created "2022-06-14" @default.
- W4282554090 creator A5006868158 @default.
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- W4282554090 date "2022-05-19" @default.
- W4282554090 modified "2023-10-18" @default.
- W4282554090 title "Forecasting the Export Value of SMEs Using Time Series Analysis" @default.
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- W4282554090 doi "https://doi.org/10.1109/icbir54589.2022.9786484" @default.
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