139 lines
3.8 KiB
Plaintext
139 lines
3.8 KiB
Plaintext
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*******************************************************************************
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Tue Oct 24 02:58:38 2017
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FIT: data read from "adv-lamb_1.csv" every ::1 using 2:5
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: f(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 3.43364e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707341
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initial set of free parameter values
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a = 1
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b = 1
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After 5 iterations the fit converged.
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final sum of squares of residuals : 105131
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rel. change during last iteration : -7.05227e-09
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 32.7531
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variance of residuals (reduced chisquare) = WSSR/ndf : 1072.77
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -1670.56 +/- 3271 (195.8%)
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b = 226.406 +/- 84.16 (37.17%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.999 1.000
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*******************************************************************************
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Tue Oct 24 02:58:38 2017
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FIT: data read from "adv-lamb_1.csv" every ::1 using 4:5
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: g(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 3.40055e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.967948
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initial set of free parameter values
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aa = 1
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bb = 1
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After 5 iterations the fit converged.
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final sum of squares of residuals : 102920
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rel. change during last iteration : -1.65455e-09
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 32.4068
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variance of residuals (reduced chisquare) = WSSR/ndf : 1050.2
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 1625.98 +/- 1056 (64.93%)
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bb = -1336.49 +/- 986.9 (73.84%)
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correlation matrix of the fit parameters:
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aa bb
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aa 1.000
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bb -1.000 1.000
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*******************************************************************************
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Tue Oct 24 02:58:38 2017
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FIT: data read from "adv-lamb_1.csv" every ::1 using 4:6
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: h(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 4.12654e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.967948
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initial set of free parameter values
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aaa = 1
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bbb = 1
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After 6 iterations the fit converged.
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final sum of squares of residuals : 6.60519
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rel. change during last iteration : -6.76367e-14
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.259615
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variance of residuals (reduced chisquare) = WSSR/ndf : 0.0673999
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -3152.73 +/- 8.457 (0.2683%)
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bbb = 3151.99 +/- 7.906 (0.2508%)
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correlation matrix of the fit parameters:
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aaa bbb
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aaa 1.000
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bbb -1.000 1.000
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