Identification of time series components using break for time series components (bftsc) and group for time series components (gftsc) techniques
Commonly in time series modelling, identifying the four time series components which are trend, seasonal, cyclical, and irregular is conducted manually using the time series plot. However, this manual identification approach requires tacit knowledge of the expert forecaster. Thus, an automated ident...
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| Format: | Thesis |
| Language: | English |
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2022
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| Online Access: | https://etd.uum.edu.my/10211/1/s901903_01.pdf https://etd.uum.edu.my/10211/ |
| Abstract | Abstract here |