Penalized Quantile Regression Methods And Empirical Mode Decomposition For Improving The Accuracy Of The Model Selection
In this study, in several scientific studies, the variables of interest are often represented by time series processes, and such time series data are frequently non-stationary and non-linear, resulting in low accuracy of the resulting regression models and less reliable conclusions. In addition, the...
| 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: |
2024
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| 主題: | |
| オンライン･アクセス: | http://eprints.usm.my/62231/ |