

*******************************************************************************
Fri Nov 28 08:32:22 2025


FIT:    data read from 'degreeDist_dblp.dat' using (log($1)):(log($2))
        format = x:z
        #datapoints = 199
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = lc - gamma * x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   lc            gamma        
   0 7.9039213112e+03   0.00e+00  3.22e+00    1.000000e+00   1.000000e+00
   4 7.3562572818e+01  -1.58e-08  3.22e-04    2.342979e+00   2.705555e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 73.5626
rel. change during last iteration : -1.58215e-13

degrees of freedom    (FIT_NDF)                        : 197
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.611076
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.373414

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
lc              = 2.34298          +/- 0.1971       (8.414%)
gamma           = 2.70556          +/- 0.04438      (1.64%)

correlation matrix of the fit parameters:
                lc     gamma  
lc              1.000 
gamma           0.976  1.000 


*******************************************************************************
Fri Nov 28 08:35:38 2025


FIT:    data read from 'degreeDist_dblp.dat' using (log($1)):(log($2))
        format = x:z
        #datapoints = 199
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = lc - gamma * x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   lc            gamma        
   0 7.9039213112e+03   0.00e+00  3.22e+00    1.000000e+00   1.000000e+00
   4 7.3562572818e+01  -1.58e-08  3.22e-04    2.342979e+00   2.705555e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 73.5626
rel. change during last iteration : -1.58215e-13

degrees of freedom    (FIT_NDF)                        : 197
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.611076
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.373414

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
lc              = 2.34298          +/- 0.1971       (8.414%)
gamma           = 2.70556          +/- 0.04438      (1.64%)

correlation matrix of the fit parameters:
                lc     gamma  
lc              1.000 
gamma           0.976  1.000 


*******************************************************************************
Fri Nov 28 08:38:03 2025


FIT:    data read from 'degreeDist_dblp.dat' using (log($1)):(log($2))
        format = x:z
        #datapoints = 199
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = lc - gamma * x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   lc            gamma        
   0 7.3562572818e+01   0.00e+00  8.66e+00    2.342979e+00   2.705555e+00
   1 7.3562572818e+01  -1.93e-11  8.66e-01    2.342979e+00   2.705555e+00

After 1 iterations the fit converged.
final sum of squares of residuals : 73.5626
rel. change during last iteration : -1.93181e-16

degrees of freedom    (FIT_NDF)                        : 197
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.611076
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.373414

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
lc              = 2.34298          +/- 0.1971       (8.414%)
gamma           = 2.70556          +/- 0.04438      (1.64%)

correlation matrix of the fit parameters:
                lc     gamma  
lc              1.000 
gamma           0.976  1.000 


*******************************************************************************
Fri Nov 28 08:38:56 2025


FIT:    data read from 'degreeDist_dblp.dat' using (log($1)):(log($2))
        format = x:z
        #datapoints = 199
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = lc - gamma * x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   lc            gamma        
   0 7.3562572818e+01   0.00e+00  8.66e+00    2.342979e+00   2.705555e+00
   1 7.3562572818e+01   0.00e+00  8.66e-01    2.342979e+00   2.705555e+00

After 1 iterations the fit converged.
final sum of squares of residuals : 73.5626
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 197
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.611076
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.373414

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
lc              = 2.34298          +/- 0.1971       (8.414%)
gamma           = 2.70556          +/- 0.04438      (1.64%)

correlation matrix of the fit parameters:
                lc     gamma  
lc              1.000 
gamma           0.976  1.000 


*******************************************************************************
Fri Nov 28 08:39:35 2025


FIT:    data read from 'degreeDist_dblp.dat' using (log($1)):(log($2))
        format = x:z
        #datapoints = 199
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = lc - gamma * x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   lc            gamma        
   0 7.3562572818e+01   0.00e+00  8.66e+00    2.342979e+00   2.705555e+00
   1 7.3562572818e+01  -1.93e-11  8.66e+00    2.342979e+00   2.705555e+00

After 1 iterations the fit converged.
final sum of squares of residuals : 73.5626
rel. change during last iteration : -1.93181e-16

degrees of freedom    (FIT_NDF)                        : 197
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.611076
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.373414

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
lc              = 2.34298          +/- 0.1971       (8.414%)
gamma           = 2.70556          +/- 0.04438      (1.64%)

correlation matrix of the fit parameters:
                lc     gamma  
lc              1.000 
gamma           0.976  1.000 


*******************************************************************************
Fri Nov 28 08:40:33 2025


FIT:    data read from 'degreeDist_dblp.dat' using (log($1)):(log($2))
        format = x:z
        #datapoints = 199
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x) = lc - gamma * x
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   lc            gamma        
   0 7.9039213112e+03   0.00e+00  3.22e+00    1.000000e+00   1.000000e+00
   4 7.3562572818e+01  -1.58e-08  3.22e-04    2.342979e+00   2.705555e+00

After 4 iterations the fit converged.
final sum of squares of residuals : 73.5626
rel. change during last iteration : -1.58215e-13

degrees of freedom    (FIT_NDF)                        : 197
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.611076
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.373414

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
lc              = 2.34298          +/- 0.1971       (8.414%)
gamma           = 2.70556          +/- 0.04438      (1.64%)

correlation matrix of the fit parameters:
                lc     gamma  
lc              1.000 
gamma           0.976  1.000 
