Statistical evaluation of experimental models for the prediction of snow in the central andes

The aim of this chapter focuses on designing statistical models to predict the accumulation of snow in the region of the Central Andes in Argentina. This section describes previous research, the data set and the definition predictors which were used in the forecasting models. A Regional Average of S...

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Detalles Bibliográficos
Autores principales: Bisero, N.K., González, M.H.
Formato: CHAP
Materias:
Central andes
Climate prediction
ENSO
Regression analysis
Snowpack
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_97815361_v_n_p29_Bisero
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_97815361_v_n_p29_Bisero
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spelling todo:paper_97815361_v_n_p29_Bisero2023-10-03T16:43:50Z Statistical evaluation of experimental models for the prediction of snow in the central andes Bisero, N.K. González, M.H. Central andes Climate prediction ENSO Regression analysis Snowpack The aim of this chapter focuses on designing statistical models to predict the accumulation of snow in the region of the Central Andes in Argentina. This section describes previous research, the data set and the definition predictors which were used in the forecasting models. A Regional Average of Snow in the region of the Central Andes (RAS) was used for this research. The series RAS is representative of the precipitacion in the mountain because it was built using measurements in stations between 32° and 38°S. Stepwise and Cross-validation Method were also employed to build and prove the efficiency of the models. © 2017 Nova Science Publishers, Inc. CHAP info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_97815361_v_n_p29_Bisero
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Central andes
Climate prediction
ENSO
Regression analysis
Snowpack
spellingShingle Central andes
Climate prediction
ENSO
Regression analysis
Snowpack
Bisero, N.K.
González, M.H.
Statistical evaluation of experimental models for the prediction of snow in the central andes
topic_facet Central andes
Climate prediction
ENSO
Regression analysis
Snowpack
description The aim of this chapter focuses on designing statistical models to predict the accumulation of snow in the region of the Central Andes in Argentina. This section describes previous research, the data set and the definition predictors which were used in the forecasting models. A Regional Average of Snow in the region of the Central Andes (RAS) was used for this research. The series RAS is representative of the precipitacion in the mountain because it was built using measurements in stations between 32° and 38°S. Stepwise and Cross-validation Method were also employed to build and prove the efficiency of the models. © 2017 Nova Science Publishers, Inc.
format CHAP
author Bisero, N.K.
González, M.H.
author_facet Bisero, N.K.
González, M.H.
author_sort Bisero, N.K.
title Statistical evaluation of experimental models for the prediction of snow in the central andes
title_short Statistical evaluation of experimental models for the prediction of snow in the central andes
title_full Statistical evaluation of experimental models for the prediction of snow in the central andes
title_fullStr Statistical evaluation of experimental models for the prediction of snow in the central andes
title_full_unstemmed Statistical evaluation of experimental models for the prediction of snow in the central andes
title_sort statistical evaluation of experimental models for the prediction of snow in the central andes
url http://hdl.handle.net/20.500.12110/paper_97815361_v_n_p29_Bisero
work_keys_str_mv AT biseronk statisticalevaluationofexperimentalmodelsforthepredictionofsnowinthecentralandes
AT gonzalezmh statisticalevaluationofexperimentalmodelsforthepredictionofsnowinthecentralandes
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