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

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Fri Oct 27 14:12:17 2017
FIT: data read from "YxYxY.csv" every ::1 using 1:5
format = x:z
#datapoints = 310
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 6.92039e+08 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 : 2.0943e+08
rel. change during last iteration : -6.36839e-06
degrees of freedom (FIT_NDF) : 308
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 824.601
variance of residuals (reduced chisquare) = WSSR/ndf : 679967
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -90.5276 +/- 1.737e+06 (1.919e+06%)
b = 1248.73 +/- 133.7 (10.71%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.937 1.000
*******************************************************************************
Fri Oct 27 14:12:17 2017
FIT: data read from "YxYxY.csv" every ::1 using 3:5
format = x:z
#datapoints = 310
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 6.91512e+08 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.877145
initial set of free parameter values
aa = 1
bb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 5.45204e+07
rel. change during last iteration : -3.71707e-14
degrees of freedom (FIT_NDF) : 308
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 420.731
variance of residuals (reduced chisquare) = WSSR/ndf : 177014
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -8487.73 +/- 286.9 (3.38%)
bb = 7438.54 +/- 210.6 (2.831%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.994 1.000
*******************************************************************************
Fri Oct 27 14:12:17 2017
FIT: data read from "YxYxY.csv" every ::1 using 3:4
format = x:z
#datapoints = 310
residuals are weighted equally (unit weight)
function used for fitting: h(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 2.36935e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.877145
initial set of free parameter values
aaa = 1
bbb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 12579.6
rel. change during last iteration : -2.05041e-13
degrees of freedom (FIT_NDF) : 308
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.39083
variance of residuals (reduced chisquare) = WSSR/ndf : 40.8428
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -285.646 +/- 4.358 (1.526%)
bbb = 293.902 +/- 3.199 (1.088%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.994 1.000
*******************************************************************************
Fri Oct 27 14:12:17 2017
FIT: data read from "YxYxY.csv" every ::1 using 2:4
format = x:z
#datapoints = 310
residuals are weighted equally (unit weight)
function used for fitting: i(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 2.40562e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707176
initial set of free parameter values
aaaa = 1
bbbb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 36249.8
rel. change during last iteration : -9.22032e-06
degrees of freedom (FIT_NDF) : 308
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 10.8487
variance of residuals (reduced chisquare) = WSSR/ndf : 117.694
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = -3790.61 +/- 105.6 (2.785%)
bbbb = 133.858 +/- 1.479 (1.105%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -0.909 1.000