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

 

Tallennettuna:
Bibliografiset tiedot
Tekijä: Villalobos Arias, Mario Alberto
Aineistotyyppi: documento de trabajo
Julkaisupäivä:2020
Kuvaus: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.
Maa:Kérwá
Organisaatio:Universidad de Costa Rica
Repositorio:Kérwá
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/80876
Linkit:https://hdl.handle.net/10669/80876
Sanahaku:generalized logistic regression
curve fitting
COVID-19