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How can I discuss how accurate a model I have created matches the data? Are there some special functions that can generate the degree of accuracy between two sets of data? I have a table with the numbers of predators and prey every year for 57 years in a row and another one generated by the model. I need to present and discuss as much as possible the resemblance between them.

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  • $\begingroup$ Often the model is generated by writing down a parametric family of functions and then optimizing some objective functional over the parameters. In this setting you could just report the value of the functional. $\endgroup$ – Ian Jan 30 '17 at 2:10
  • $\begingroup$ Typically you want to measure the "mean squared error", though there are also other statistical tests to measure accuracy. See en.wikipedia.org/wiki/Errors_and_residuals $\endgroup$ – Morgan Rodgers Jan 30 '17 at 2:15

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