Alternative method: outlier treatments with box-jenkins and neural network via interpolation method
Outliers represent the points that greatly diverge and act differently from the rest of the points. These kinds of phenomenon usually happen in the data especially in time series data. The presence of this outlier gave bad effect in all statistical method including forecasting if there are no action...
| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
UTHM Publisher
2018
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| Assuntos: | |
| Acesso em linha: | http://eprints.uthm.edu.my/5971/1/AJ%202017%20%28924%29.pdf |