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

 

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف: Villalobos Arias, Mario Alberto
التنسيق: documento de trabajo
تاريخ النشر:2020
الوصف: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.
البلد:Kérwá
المؤسسة:Universidad de Costa Rica
Repositorio:Kérwá
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/80876
الوصول للمادة أونلاين:https://hdl.handle.net/10669/80876
كلمة مفتاحية:generalized logistic regression
curve fitting
COVID-19