Prediction of Cases of Infection and Deaths Caused by COVID-19 in Mexico through the Construction of Probabilistic Models under Health Conditions in 2020
Juan Bacilio Guerrero Escamilla, Sócrates López Pérez & Yamile Rangel Martínez · Asian Journal of Probability and Statistics · 2021
In the present research work, two probabilistic models are constructed, which are exponential regression and negative binomial regression. The first one refers to the number of positive cases of being infected by COVID-19. The second one refers to deaths. It was possible to estim...
Open access
Research Article
10.9734/ajpas/2020/v10i430252