distribution fitting to data

Hi there,

I try to fit my data (attached) with a normal distribution or similar function as the lines below. Any suggestion to improve the fitting? Thank you so much.

-Allan

Answer 1

[Alex Sha]

Hi, you could try the combination of three Gauss function like below

Root of Mean Square Error (RMSE): 2.2458311950253

Sum of Squared Residual: 711.169843673375

Correlation Coef. (R): 0.995653625154367

R-Square: 0.991326141283032

Adjusted R-Square: 0.991200433185684

Determination Coef. (DC): 0.991326141283033

Chi-Square: 6.21518727937255

F-Statistic: 1663.53905384453

Parameter Best Estimate

---------- -------------

y0 3.38248250695097

a1 -3.40352177296373

w1 -0.0629005260678393

xc1 0.633232228609099

a2 5.12621647096813

w2 0.218653477675725

xc2 0.601814960692917

a3 3.60981050580609

w3 0.0527170754308885

xc3 0.565564482020339