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How to find the erro for fitted parameters?

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When using 'lsqnonlin', 'lsqcurvefit', 'fitnlm', 'nlinfit', etc.. It produces optimized parameters. How to find the error of these parameters to report results like a+/- da; b +/- db ( da and db here)? Thanks.

Accepted Answer

Star Strider
Star Strider on 15 Nov 2017
To get parameter confidence limits on a nonlinear regression, use the nlparci (link) function.
To get confidence intervals on the fit (prediction), use the nlpredci (link) function.

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