(adsbygoogle = window.adsbygoogle || []).push({}); Describing the "goodness of fit" of a model

Hi there,

I would like to ask advice on an appropriate way to define how well a measurement 'matches up' to the predicted response. In other words, I have a set of data for bandwidth measurement for an LED (amplitude vs. frequency). I also have a predicted response, from a simple equation:

[tex]M(f) = \sqrt{3}/2* \pi *\tau *f[/tex]

Where M(f) is the amplitude at a given frequency, and Tau is the LED time constant.

I'd like to know a good way to quantify how well the curve of measured values matches the curve of predicted values, so that I can quantify the 'goodness' of the model depending on different Tau values and so on.

Any guidance would be appreciated!

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# Describing the goodness of fit of a model

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