masterarbeit/dokumentation/evolution3d/20171007_3dFit_all.gnuplot.fit.log
2017-10-27 14:31:55 +02:00

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Fri Oct 27 14:09:07 2017
FIT: data read from "20171007_3dFit_all.csv" every ::1 using 1:5
format = x:z
#datapoints = 400
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.08985e+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 2 iterations the fit converged.
final sum of squares of residuals : 2.34752e+08
rel. change during last iteration : -6.88157e-06
degrees of freedom (FIT_NDF) : 398
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 768.004
variance of residuals (reduced chisquare) = WSSR/ndf : 589830
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -168.685 +/- 1.208e+06 (7.161e+05%)
b = 1463.12 +/- 117.2 (8.012%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.945 1.000
*******************************************************************************
Fri Oct 27 14:09:07 2017
FIT: data read from "20171007_3dFit_all.csv" every ::1 using 3:5
format = x:z
#datapoints = 400
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.08907e+09 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.855277
initial set of free parameter values
aa = 1
bb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 1.32414e+08
rel. change during last iteration : -4.04224e-13
degrees of freedom (FIT_NDF) : 398
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 576.8
variance of residuals (reduced chisquare) = WSSR/ndf : 332699
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -10433 +/- 594.9 (5.702%)
bb = 8544.05 +/- 404.8 (4.737%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.997 1.000
*******************************************************************************
Fri Oct 27 14:09:07 2017
FIT: data read from "20171007_3dFit_all.csv" every ::1 using 3:4
format = x:z
#datapoints = 400
residuals are weighted equally (unit weight)
function used for fitting: h(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.69084e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.855277
initial set of free parameter values
aaa = 1
bbb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 17055.3
rel. change during last iteration : -3.67716e-12
degrees of freedom (FIT_NDF) : 398
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.54618
variance of residuals (reduced chisquare) = WSSR/ndf : 42.8525
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -335 +/- 6.751 (2.015%)
bbb = 323.487 +/- 4.594 (1.42%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.997 1.000
*******************************************************************************
Fri Oct 27 14:09:07 2017
FIT: data read from "20171007_3dFit_all.csv" every ::1 using 2:4
format = x:z
#datapoints = 400
residuals are weighted equally (unit weight)
function used for fitting: i(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.74103e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707136
initial set of free parameter values
aaaa = 1
bbbb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 18560.2
rel. change during last iteration : -9.79115e-11
degrees of freedom (FIT_NDF) : 398
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.82888
variance of residuals (reduced chisquare) = WSSR/ndf : 46.6336
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = -7152.05 +/- 151.4 (2.117%)
bbbb = 159.156 +/- 1.378 (0.8657%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -0.969 1.000