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...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2022
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| 主題: | |
| オンライン･アクセス: | https://etd.uum.edu.my/10211/1/s901903_01.pdf https://etd.uum.edu.my/10211/ |
| Abstract | Abstract here |