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

 

Shranjeno v:
Bibliografske podrobnosti
Avtor: Villalobos Arias, Mario Alberto
Format: documento de trabajo
Fecha de Publicación:2020
Opis: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.
País:Kérwá
Institucija:Universidad de Costa Rica
Repositorio:Kérwá
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/80876
Online dostop:https://hdl.handle.net/10669/80876
Ključna beseda:generalized logistic regression
curve fitting
COVID-19