masterarbeit/dokumentation/evolution3d/20171021-evolution3D_6x6_100Times.gnuplot.fit.log
2017-10-27 14:31:55 +02:00

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Fri Oct 27 14:09:08 2017
FIT: data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 1:5
format = x:z
#datapoints = 110
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.41837e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707107
initial set of free parameter values
a = 1
b = 1
After 3 iterations the fit converged.
final sum of squares of residuals : 2.82403e+06
rel. change during last iteration : -2.99991e-06
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 161.705
variance of residuals (reduced chisquare) = WSSR/ndf : 26148.4
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 295.027 +/- 2.748e+06 (9.313e+05%)
b = 534.921 +/- 147.5 (27.58%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.995 1.000
*******************************************************************************
Fri Oct 27 14:09:08 2017
FIT: data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:5
format = x:z
#datapoints = 110
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.40877e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.91346
initial set of free parameter values
aa = 1
bb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 2.78082e+06
rel. change during last iteration : -3.34692e-12
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 160.463
variance of residuals (reduced chisquare) = WSSR/ndf : 25748.3
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 3735.6 +/- 2883 (77.19%)
bb = -2520.03 +/- 2358 (93.57%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -1.000 1.000
*******************************************************************************
Fri Oct 27 14:09:08 2017
FIT: data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:4
format = x:z
#datapoints = 110
residuals are weighted equally (unit weight)
function used for fitting: h(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 413045 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.91346
initial set of free parameter values
aaa = 1
bbb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 3575.34
rel. change during last iteration : -2.68313e-07
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.7537
variance of residuals (reduced chisquare) = WSSR/ndf : 33.105
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = 15.0528 +/- 103.4 (686.9%)
bbb = 50.5195 +/- 84.55 (167.4%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000
*******************************************************************************
Fri Oct 27 14:09:08 2017
FIT: data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 2:4
format = x:z
#datapoints = 110
residuals are weighted equally (unit weight)
function used for fitting: i(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 423824 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707248
initial set of free parameter values
aaaa = 1
bbbb = 1
After 3 iterations the fit converged.
final sum of squares of residuals : 3576.05
rel. change during last iteration : -4.97138e-12
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.75426
variance of residuals (reduced chisquare) = WSSR/ndf : 33.1115
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = 2.2349 +/- 2.531e+16 (1.133e+18%)
bbbb = 62.785 +/- 5.059e+14 (8.058e+14%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -1.000 1.000