Using generalized logistics regression to forecast  population infected by Covid-19

dc.creator	Villalobos Arias, Mario Alberto
dc.date.accessioned	2020-04-13T15:11:03Z
dc.date.available	2020-04-13T15:11:03Z
dc.date.issued	2020-04-05
dc.description.abstract	In 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
dc.description.procedence	UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones en Matemáticas Puras y Aplicadas (CIMPA)	es
dc.identifier.uri	https://hdl.handle.net/10669/80876
dc.language.iso	en_US
dc.rights	acceso embargado
dc.subject	generalized logistic regression	es
dc.subject	curve fitting	es
dc.subject	COVID-19	es
dc.title	Using generalized logistics regression to forecast population infected by Covid-19	es
dc.type	documento de trabajo

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