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A D-vine copula-based quantile regression towards merging satellite precipitation products over a rugged topography: A case study at the upper Tekeze Atbara Basin of the Nile Basin
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| Created: | Jan 15, 2024 at 7:46 a.m. | |
| Last updated: | Jan 15, 2024 at 8:13 a.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
The data include merged multiple satellite precipitation products using D-vine Copula-based Quantile Regression (DVQR), Multivariate Linear Quantile Regression (MLQR), the Bayesian Model Averaging Quantile Regression (BMAQ), and two merging traditional approaches (the simple modeling average (SMA) and the one-outlier-removed average (OORA)).
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| The content of this resource can be executed by | Abdallah, M. (2024). Data underlying the paper "A D-vine copula-based quantile regression towards merging satellite precipitation products over a rugged topography: A case study at the upper Tekeze Atbara Basin of the Nile Basin", HydroShare, http://www.hydroshare.org/resource/d0d9140845144d73ac578d865411a10a |
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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