Author: Chowell, Gerardo
Title: Fitting dynamic models to epidemic outbreaks with quantified uncertainty: A primer for parameter uncertainty, identifiability, and forecasts Document date: 2017_8_12
ID: 3aa8wgr0_74
Snippet: While we can inspect the residuals for any systematic deviations of the model fit to the data, it is also possible to quantify the error of the model fit to the data using performance metrics (Kuhn & Johnson, 2013) . These metrics are also useful to quantify the error associated with forecasts. A widely used performance metric is the root-mean-squared error (RMSE), which is given by.....
Document: While we can inspect the residuals for any systematic deviations of the model fit to the data, it is also possible to quantify the error of the model fit to the data using performance metrics (Kuhn & Johnson, 2013) . These metrics are also useful to quantify the error associated with forecasts. A widely used performance metric is the root-mean-squared error (RMSE), which is given by
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