Abstract
This chapter is focused on fitting models to data. Least square fit is explained and least square error is defined. Fitting models to data is illustrated on examples and MATLAB code for the fitting is given. This chapter also gives a point-by-point list of steps that should be followed when fitting is performed. The concepts of model selection and the Akaike Information Criterion are introduced and illustrated on examples. Computing elasticities and sensitivities is explained.
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Martcheva, M. (2015). Fitting Models to Data. In: An Introduction to Mathematical Epidemiology. Texts in Applied Mathematics, vol 61. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7612-3_6
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DOI: https://doi.org/10.1007/978-1-4899-7612-3_6
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