Lecture 5: Survey Nitty Gritty
linear regression. nonlinear regression . number of parameters affects accuracy of model, but confidence limits on the parameters fitted must be evaluated. objective function for data fitting – minimize sum of squares of errors between data points and model predictions (use optimization code to fit parameters) ... ................
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