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Evaluation of a multiple linear regression model and SARIMA model in forecasting 7Be air concentrations

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Evaluation of a multiple linear regression model and SARIMA model in forecasting 7Be air concentrations

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Bas Cerdá, MDC.; Ortiz Moragón, J.; Ballesteros Pascual, L.; Martorell Alsina, SS. (2017). Evaluation of a multiple linear regression model and SARIMA model in forecasting 7Be air concentrations. Chemosphere. 177:326-333. doi:10.1016/j.chemosphere.2017.03.029

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/88143

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Title: Evaluation of a multiple linear regression model and SARIMA model in forecasting 7Be air concentrations
Author:
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Laboratorio de Radiactividad Ambiental - Laboratori de Radiactivitat Ambiental
Issued date:
Abstract:
[EN] Forecasting the 7Be air concentration is a target value in analyzing fluctuations that could reveal important information on the motions of atmospheric air masses. In this study we first propose a Seasonal Autoregressive ...[+]
Subjects: 7Be , Time series , Multiple linear regression , Forecasting
Copyrigths: Embargado
Source:
Chemosphere. (issn: 0045-6535 )
DOI: 10.1016/j.chemosphere.2017.03.029
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.chemosphere.2017.03.029
Thanks:
This study has been partially supported by the REM program of the Nuclear Safety Council of Spain (SRA/2071/2015/227.06). We are also grateful to the UPV's weather station for providing the atmospheric information used in ...[+]
Type: Artículo

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