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

 

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Bibliografische gegevens
Auteur: Villalobos Arias, Mario Alberto
Formaat: documento de trabajo
Publicatiedatum:2020
Omschrijving: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.
Land:Kérwá
Instelling:Universidad de Costa Rica
Repositorio:Kérwá
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/80876
Online toegang:https://hdl.handle.net/10669/80876
Keyword:generalized logistic regression
curve fitting
COVID-19