Using generalized logistics regression to forecast population infected by Covid-19
Populations and Evolution
2020-04-07 v1 Optimization and Control
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.
Cite
@article{arxiv.2004.02406,
title = {Using generalized logistics regression to forecast population infected by Covid-19},
author = {Mario Villalobos-Arias},
journal= {arXiv preprint arXiv:2004.02406},
year = {2020}
}
Comments
forecast to covid-19 using generalized logistics regression 14 figures, 18 pages