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Beschreibung
The study proposes a smoothing method which is the arithmetic weighted value of Generalized Cross-Validation (GCV) and Unbiased Risk (UBR) methods. This study concluded that the PSM method provides the best-fit as a smoothing method, works well at autocorrelation levels (¿=0.2, 0.5 and 0.8), and does not overfit time-series observations. The study recommended that the proposed smoothing is appropriate for time series observations with autocorrelation in the error term and econometrics real-life data. This study can be applied to: non ¿ parametric regression, non ¿ parametric forecasting, spatial, survival and econometrics observations.
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 28. März 2023 |
| Maße | 22 cm x 15 cm x 0.9 cm |
| Gewicht | 233 Gramm |
| Format | Softcover |
| ISBN-13 | 9786206151890 |
| Seiten | 144 |
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