******************************************************************************* Tue Oct 03 11:47:33 2023 FIT: data read from 'windfrq2.out' u 1:2 format = u:z u range restricted to [0.00000 : 5.00000] #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: phi(u,c,k) phi(u,c,k)=(k/c)*((u/c)**(k-1))*exp((-1*(u/c)**k)) fitted parameters initialized with current variable values iter chisq delta/lim lambda c k 0 1.4387591615e-02 0.00e+00 7.46e-02 1.000000e+01 1.000000e+00 13 7.6195558878e-04 -6.15e-02 7.46e-08 5.328788e+00 1.550449e+00 After 13 iterations the fit converged. final sum of squares of residuals : 0.000761956 rel. change during last iteration : -6.15413e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0159369 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000253985 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 5.32879 +/- 0.3176 (5.961%) k = 1.55045 +/- 0.09684 (6.246%) correlation matrix of the fit parameters: c k c 1.000 k -0.259 1.000 ******************************************************************************* Wed Oct 04 09:24:20 2023 FIT: data read from 'windfrq2.out' u 1:2 format = u:z u range restricted to [0.00000 : 5.00000] #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: phi(u,c,k) phi(u,c,k)=(k/c)*((u/c)**(k-1))*exp((-1*(u/c)**k)) fitted parameters initialized with current variable values iter chisq delta/lim lambda c k 0 1.4387591615e-02 0.00e+00 7.46e-02 1.000000e+01 1.000000e+00 13 7.6195558878e-04 -6.15e-02 7.46e-08 5.328788e+00 1.550449e+00 After 13 iterations the fit converged. final sum of squares of residuals : 0.000761956 rel. change during last iteration : -6.15413e-07 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0159369 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000253985 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 5.32879 +/- 0.3176 (5.961%) k = 1.55045 +/- 0.09684 (6.246%) correlation matrix of the fit parameters: c k c 1.000 k -0.259 1.000