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.identifier.uri	https://hdl.handle.net/10669/80876
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_ES
dc.language.iso	en_US	es_ES
dc.subject	generalized logistic regression	es_ES
dc.subject	curve fitting	es_ES
dc.subject	COVID-19	es_ES
dc.title	Using generalized logistics regression to forecast population infected by Covid-19	es_ES
dc.type	documento de trabajo
dc.description.procedence	UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones en Matemáticas Puras y Aplicadas (CIMPA)	es_ES