Modelo de pronóstico para la producción de sal

 

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Autoři: Amoroso Rodríguez, Lázaro, Delisle Ybonet, Pedro, Quesada, Evelyn
Médium: artículo original
Stav:Versión publicada
Datum vydání:2018
Popis:This article evaluates gross salt production as a function of evaporation and precipitation, as variables, using simple and quadratic linear regression statistical analysis. Crude salt production and meteorological variables records belonging to 35 years, are used for a case study in Caimanera, Guantanamo Bay, Cuba. The (r) coefficient of correlation is used for a regression model. The results of different statistical models are shown and compared, and information generated from these results is discussed as the basis for a mathematical forecasting model that allows decision making to optimize production.
Země:Portal de Revistas UCR
Instituce:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Jazyk:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/33937
On-line přístup:https://revistas.ucr.ac.cr/index.php/cienciaytecnologia/article/view/33937
Klíčové slovo:Extraction of salt
meteorological variables
model
prognosis.
Extracción de sal
variables meteorológicas
modelo
pronóstico.