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dc.creatorVillalobos Arias, Mario Alberto
dc.date.accessioned2020-04-13T15:11:03Z
dc.date.available2020-04-13T15:11:03Z
dc.date.issued2020-04-05
dc.identifier.urihttp://hdl.handle.net/10669/80876
dc.description.abstractIn this work, a proposal to forecast the populations using generalized logistics regression curve fitting is presented. This type of curve is used to study population growth, in this case population of people infected with the Covid-19 virus; and it can also be used to approximate the survival curve used in actuarial and similar studies.es_ES
dc.language.isoen_USes_ES
dc.subjectgeneralized logistic regressiones_ES
dc.subjectcurve fittinges_ES
dc.subjectCOVID-19es_ES
dc.titleUsing generalized logistics regression to forecast population infected by Covid-19es_ES
dc.typeinfo:eu-repo/semantics/workingPaperes_ES
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones en Matemáticas Puras y Aplicadas (CIMPA)es_ES


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