Fit: how to return chi-squared instead of r-squared
20 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
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?
0 commentaires
Réponses (1)
Bruno Pop-Stefanov
le 22 Jan 2014
If you want the chi-squared statistic, you will have to write your own code from your input data and your calculated fit.
0 commentaires
Voir également
Catégories
En savoir plus sur Hypothesis Tests dans Help Center et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!