Efficiency of nonparametric estimators for missing observations of bilinear time series with gaussian innovations
In this paper, nonparametric methods of artificial neural networks and exponential smoothing are used to estimate missing observations of bilinear time series models which have normally distributed innovations. Bilinear time series data with normally distributed innovation was generated for the m...
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Moroccan Association for Applied Science and Innovation
2022-12-01
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| Seria: | Moroccan Journal of Quantitative and Qualitative Research |
| Hasła przedmiotowe: | |
| Dostęp online: | https://revues.imist.ma/index.php/MJQR/article/view/30604 |
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