Abstract
In this research paper, three nonlinear models of time series models will be addressed, represented in the Logistic model, Chapman Richard model and Von Bertalanff model, which is used to predict the number of people infected with the Covid_19 virus for Baghdad Governorate for the period from (1/10/2021) to (31/12/2021) and compare these models using the criteria (AIC, BIC, H-Q), and that One of the most important conclusions reached was that the Logistic model is the best model to represent the time series of the number of people infected with the Covid_19 virus through statistical criteria (AIC, BIC, H-Q), and there is a great convergence between the actual and estimated numbers of people infected with the Covid_19 virus.
Keywords
AIC
BIC
Chapman-Richard model
logistic model
Time series
Von Bertalanf model