185 lines
5.1 KiB
Plaintext
185 lines
5.1 KiB
Plaintext
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*******************************************************************************
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Fri Oct 27 14:09:07 2017
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FIT: data read from "20171013_3dFit_4x4x7_100times.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 : 4.17059e+08 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707107
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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 7 iterations the fit converged.
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final sum of squares of residuals : 1.87465e+07
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rel. change during last iteration : -3.45833e-09
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 437.368
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variance of residuals (reduced chisquare) = WSSR/ndf : 191291
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -1.04278e+07 +/- 2.15e+06 (20.62%)
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b = 2804.5 +/- 174.4 (6.22%)
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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 -0.968 1.000
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*******************************************************************************
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Fri Oct 27 14:09:07 2017
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FIT: data read from "20171013_3dFit_4x4x7_100times.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 : 4.16784e+08 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.860178
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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 4 iterations the fit converged.
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final sum of squares of residuals : 2.30326e+07
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rel. change during last iteration : -2.46431e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 484.795
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variance of residuals (reduced chisquare) = WSSR/ndf : 235026
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 7203.94 +/- 7544 (104.7%)
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bb = -3004.38 +/- 5226 (173.9%)
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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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Fri Oct 27 14:09:07 2017
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FIT: data read from "20171013_3dFit_4x4x7_100times.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 : 770224 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.860178
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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 5 iterations the fit converged.
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final sum of squares of residuals : 3831.77
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rel. change during last iteration : -2.81552e-12
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.25298
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variance of residuals (reduced chisquare) = WSSR/ndf : 39.0997
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -284.393 +/- 97.31 (34.22%)
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bbb = 286.203 +/- 67.4 (23.55%)
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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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*******************************************************************************
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Fri Oct 27 14:09:07 2017
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FIT: data read from "20171013_3dFit_4x4x7_100times.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 : 782212 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707145
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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 3 iterations the fit converged.
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final sum of squares of residuals : 4165.76
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rel. change during last iteration : -1.15562e-11
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.51979
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variance of residuals (reduced chisquare) = WSSR/ndf : 42.5077
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = 1.91405 +/- 1.245e+17 (6.505e+18%)
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bbbb = 89.1974 +/- 1.29e+15 (1.447e+15%)
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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 -1.000 1.000
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