Fit: how to return chi-squared instead of r-squared

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Hi, i'm performing this fit:
f=fittype('a*(x^(-b))*exp(-x/c)');
options = fitoptions('Method','NonlinearLeastSquares','StartPoint',[100,1,1]);
[val1,val2,val3]=fit(x,y,f,options);
disp(val2);
and I get on the screen
sse: 9.7986e-04
rsquare: 1.0000
dfe: 97
adjrsquare: 1.0000
rmse: 0.0032
How could I get chi-square instead of r-square?

回答(1 个)

Bruno Pop-Stefanov
Bruno Pop-Stefanov 2014-1-22
The Curve Fitting Toolbox only supports these goodness-of-fit statistics for parametric models:
If you want the chi-squared statistic, you will have to write your own code from your input data and your calculated fit.

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