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

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Fri Oct 27 14:12:27 2017
FIT: data read from "all.csv" every ::1 using 1:5
format = x:z
#datapoints = 910
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 2.69952e+09 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 6 iterations the fit converged.
final sum of squares of residuals : 5.77426e+08
rel. change during last iteration : -1.48436e-07
degrees of freedom (FIT_NDF) : 908
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 797.454
variance of residuals (reduced chisquare) = WSSR/ndf : 635932
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -5.38736e+06 +/- 8.165e+05 (15.16%)
b = 1966.44 +/- 72.92 (3.708%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.932 1.000
*******************************************************************************
Fri Oct 27 14:12:27 2017
FIT: data read from "all.csv" every ::1 using 3:5
format = x:z
#datapoints = 910
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 2.6977e+09 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.857335
initial set of free parameter values
aa = 1
bb = 1
After 3 iterations the fit converged.
final sum of squares of residuals : 3.3878e+08
rel. change during last iteration : -3.41053e-07
degrees of freedom (FIT_NDF) : 908
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 610.824
variance of residuals (reduced chisquare) = WSSR/ndf : 373106
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -8301.78 +/- 310.7 (3.743%)
bb = 7184 +/- 213 (2.965%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.995 1.000
*******************************************************************************
Fri Oct 27 14:12:27 2017
FIT: data read from "all.csv" every ::1 using 3:4
format = x:z
#datapoints = 910
residuals are weighted equally (unit weight)
function used for fitting: h(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 8.64029e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.857335
initial set of free parameter values
aaa = 1
bbb = 1
After 3 iterations the fit converged.
final sum of squares of residuals : 44319.2
rel. change during last iteration : -3.6749e-06
degrees of freedom (FIT_NDF) : 908
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.98639
variance of residuals (reduced chisquare) = WSSR/ndf : 48.8097
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -292.832 +/- 3.554 (1.214%)
bbb = 296.825 +/- 2.437 (0.8209%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.995 1.000
*******************************************************************************
Fri Oct 27 14:12:27 2017
FIT: data read from "all.csv" every ::1 using 2:4
format = x:z
#datapoints = 910
residuals are weighted equally (unit weight)
function used for fitting: i(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 8.75529e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707146
initial set of free parameter values
aaaa = 1
bbbb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 84605.2
rel. change during last iteration : -1.31864e-06
degrees of freedom (FIT_NDF) : 908
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.65285
variance of residuals (reduced chisquare) = WSSR/ndf : 93.1775
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = -4091.03 +/- 73.19 (1.789%)
bbbb = 136.014 +/- 0.7684 (0.5649%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -0.909 1.000