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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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
IOP Publishing
2017
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| 主題: | |
| オンライン･アクセス: | http://eprints.uthm.edu.my/5684/1/AJ%202018%20%28305%29.pdf http://eprints.uthm.edu.my/5684/ |
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