185 lines
5.0 KiB
Plaintext
185 lines
5.0 KiB
Plaintext
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*******************************************************************************
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Fri Oct 27 14:09:08 2017
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FIT: data read from "errors.csv" every ::1 using 1:5
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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 : 129069 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 84.3477
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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 6 iterations the fit converged.
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final sum of squares of residuals : 4993.5
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rel. change during last iteration : -5.46363e-11
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.13821
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variance of residuals (reduced chisquare) = WSSR/ndf : 50.9541
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -0.0931363 +/- 0.1443 (154.9%)
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b = 96.4721 +/- 17.21 (17.84%)
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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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Fri Oct 27 14:09:08 2017
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FIT: data read from "errors.csv" every ::1 using 3:5
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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 : 38697.6 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 71.7898
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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 6 iterations the fit converged.
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final sum of squares of residuals : 5010.73
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rel. change during last iteration : -1.443e-13
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.15052
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variance of residuals (reduced chisquare) = WSSR/ndf : 51.1299
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 0.0270058 +/- 0.09648 (357.3%)
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bb = 82.6379 +/- 9.795 (11.85%)
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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 -0.997 1.000
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*******************************************************************************
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Fri Oct 27 14:09:08 2017
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FIT: data read from "errors.csv" every ::1 using 3:4
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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 : 27023.7 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 71.7898
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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 : 4159.2
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rel. change during last iteration : -2.19108e-13
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.51466
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variance of residuals (reduced chisquare) = WSSR/ndf : 42.4408
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -0.0345469 +/- 0.0879 (254.4%)
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bbb = 92.7152 +/- 8.924 (9.625%)
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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 -0.997 1.000
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*******************************************************************************
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Fri Oct 27 14:09:08 2017
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FIT: data read from "errors.csv" every ::1 using 2:4
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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: i(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 30294.4 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 72.9129
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initial set of free parameter values
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aaaa = 1
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bbbb = 1
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After 6 iterations the fit converged.
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final sum of squares of residuals : 4165.22
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rel. change during last iteration : -6.01785e-13
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.51938
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variance of residuals (reduced chisquare) = WSSR/ndf : 42.5023
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = -0.0109066 +/- 0.09721 (891.3%)
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bbbb = 90.3395 +/- 10.02 (11.09%)
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correlation matrix of the fit parameters:
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aaaa bbbb
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aaaa 1.000
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bbbb -0.998 1.000
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