# covariance between the estimated parameters from curve fitting toolbox

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Bram Stegeman 2019년 8월 23일
댓글: Matt J 2021년 4월 11일
Hello,
I have collected data (x,y) from a sine wave. Now I want to fit a model to this data, e.g: y=A*sin(B*x+C) or y=E + A*sin(B*x) + D*cos(B*x).
Is there a way to estimate this parameters (A to D) with matlab, outside the curve fitting toolbox? The latter can provide me the parameters and confidence intervals, but i'm interested in the covariance between the estimated parameters.
If not, is there another way to calcualte the parameters and covariance between the estimated parameters A to D?
Thanks a lot.
Bram

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### 채택된 답변

Matt J 2019년 8월 23일
편집: Matt J 2019년 8월 23일
There is lsqcurvefit in the Optimization Toolbox. However, the Curve Fitting Toolbox does let you return the Jacobian, which is presumably what you would use for your covariance analysis,
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Mirta Dumancic 2021년 4월 11일
How?
Matt J 2021년 4월 11일
It is the 7th output argument of lsqcurvefit
[x,resnorm,residual,exitflag,output,lambda,jacobian] = lsqcurvefit(___)

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