Non linear discriminant based on mixture of distributions: an application in return time of heterogeneous maximum flows observed in the Paranapanema river basin-Brazil

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In this work, maximum flows observed in the Paranapanema river basin are modeled by a mixture of two GEV distributions whose components correspond to the summer and winter subpopulations. The nonlinear discriminant function allowed to confirm the assumption of mixture model.The proposed model is the...

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Detalles Bibliográficos
Autores: Guevara Otiniano, Cira Etheowalda, C. Cruvinel, Evelyn, H. Lima, Carlos
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad Nacional de Trujillo
Repositorio:Revistas - Universidad Nacional de Trujillo
Lenguaje:portugués
OAI Identifier:oai:ojs.revistas.unitru.edu.pe:article/3079
Enlace del recurso:https://revistas.unitru.edu.pe/index.php/SSMM/article/view/3079
Nivel de acceso:acceso abierto
Materia:MGEV
Discriminant Analysis
Flows
Return Period
Análises de discriminante
Cheia de bacias hidrográficas
Período de retorno
Descripción
Sumario:In this work, maximum flows observed in the Paranapanema river basin are modeled by a mixture of two GEV distributions whose components correspond to the summer and winter subpopulations. The nonlinear discriminant function allowed to confirm the assumption of mixture model.The proposed model is then used to determine probabilities of exceedance and return periods associated with extreme flows, which are of fundamental importance for hydraulic projects. The results show significant differences when a mixture model is used and therefore an approach more coherent with the observed data.
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