masterarbeit/dokumentation/evolution1d/20171005-all.gnuplot.fit.log
2017-10-24 13:22:20 +02:00

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Tue Oct 24 02:24:04 2017
FIT: data read from "20171005-all.csv" every ::1 using 2:5
format = x:z
#datapoints = 500
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 2.28196e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707253
initial set of free parameter values
a = 1
b = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 923871
rel. change during last iteration : -3.77204e-09
degrees of freedom (FIT_NDF) : 498
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 43.0716
variance of residuals (reduced chisquare) = WSSR/ndf : 1855.16
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 525.335 +/- 371.3 (70.69%)
b = 199.937 +/- 7.551 (3.777%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.967 1.000
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Tue Oct 24 02:24:04 2017
FIT: data read from "20171005-all.csv" every ::1 using 4:5
format = x:z
#datapoints = 500
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 2.26292e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.96613
initial set of free parameter values
aa = 1
bb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 896315
rel. change during last iteration : -2.77934e-10
degrees of freedom (FIT_NDF) : 498
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 42.4244
variance of residuals (reduced chisquare) = WSSR/ndf : 1799.83
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 461.066 +/- 110.6 (23.99%)
bb = -218.927 +/- 103 (47.04%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -1.000 1.000
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Tue Oct 24 02:24:04 2017
FIT: data read from "20171005-all.csv" every ::1 using 4:6
format = x:z
#datapoints = 500
residuals are weighted equally (unit weight)
function used for fitting: h(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 2.45978e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.96613
initial set of free parameter values
aaa = 1
bbb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 44.6037
rel. change during last iteration : -1.73479e-13
degrees of freedom (FIT_NDF) : 498
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.299275
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0895656
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -3139.92 +/- 0.7803 (0.02485%)
bbb = 3139.95 +/- 0.7265 (0.02314%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000