Treatment of outliers via interpolation method with neural network forecast performances
Outliers often lurk in many datasets, especially in real data. Such anomalous data can negatively affect statistical analyses, primarily normality, variance, and estimation aspects. Hence, handling the occurrences of outliers require special attention. Therefore, it is important to determine the sui...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2017
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/5684/1/AJ%202018%20%28305%29.pdf http://eprints.uthm.edu.my/5684/ |
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