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

 

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Detaylı Bibliyografya
Yazar: Villalobos Arias, Mario Alberto
Materyal Türü: documento de trabajo
Yayın Tarihi:2020
Diğer Bilgiler: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.
Ülke:Kérwá
Kurum:Universidad de Costa Rica
Repositorio:Kérwá
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/80876
Online Erişim:https://hdl.handle.net/10669/80876
Anahtar Kelime:generalized logistic regression
curve fitting
COVID-19