Least-squares fitting

Use standard optimization approaches to find parameters that minimize the SSQ deviation between predicted and observed incidence (or other disease measures). Assumes (1) constant variance; (2) measurement (observation) error only, no process error

RELATED ARTICLESExplain
Controlling Infectious Diseases
Research Questions
Open mathematical/computational problems?
Statistical Methods for model selection and parameter estimation
Parametric approaches
Least-squares fitting
Simple and widely used
Household models
Maximum likelihood estimation
Methods incorporating both process and observation error
Sensitive to model misspecification
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