Subversion Repositories svnkaklik

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Tue Nov  6 22:24:01 2012


FIT:    data read from "zavislost_teplota.txt"  using 1:3
        format = x:z
        #datapoints = 5
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 34918             delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 58.6813

initial set of free parameter values

k               = 1
q               = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 0.000448949
rel. change during last iteration : -2.4768e-12

degrees of freedom    (FIT_NDF)                        : 3
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0122331
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00014965

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

k               = -0.0023836       +/- 0.0001861    (7.807%)
q               = 0.584967         +/- 0.01544      (2.64%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.935  1.000 


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Tue Nov  6 22:25:40 2012


FIT:    data read from "zavislost_teplota.txt"  using 1:4
        format = x:z
        #datapoints = 5
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 34887.7           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 58.6813

initial set of free parameter values

k               = 1
q               = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 0.000147842
rel. change during last iteration : -6.53232e-12

degrees of freedom    (FIT_NDF)                        : 3
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00702002
variance of residuals (reduced chisquare) = WSSR/ndf   : 4.92807e-05

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

k               = -0.00225349      +/- 0.0001068    (4.739%)
q               = 0.612271         +/- 0.008862     (1.447%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.935  1.000 


*******************************************************************************
Tue Nov  6 22:37:02 2012


FIT:    data read from "zavislost_teplota.txt"  using 1:4
        format = x:z
        #datapoints = 5
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 34887.7           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 58.6813

initial set of free parameter values

k               = 1
q               = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 0.000147842
rel. change during last iteration : -6.53232e-12

degrees of freedom    (FIT_NDF)                        : 3
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00702002
variance of residuals (reduced chisquare) = WSSR/ndf   : 4.92807e-05

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

k               = -0.00225349      +/- 0.0001068    (4.739%)
q               = 0.612271         +/- 0.008862     (1.447%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.935  1.000 


*******************************************************************************
Tue Nov  6 22:37:34 2012


FIT:    data read from "zavislost_teplota.txt"  using 1:4
        format = x:z
        #datapoints = 5
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 34887.7           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 58.6813

initial set of free parameter values

k               = 1
q               = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 0.000147842
rel. change during last iteration : -6.53232e-12

degrees of freedom    (FIT_NDF)                        : 3
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00702002
variance of residuals (reduced chisquare) = WSSR/ndf   : 4.92807e-05

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

k               = -0.00225349      +/- 0.0001068    (4.739%)
q               = 0.612271         +/- 0.008862     (1.447%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.935  1.000 


*******************************************************************************
Tue Nov  6 22:37:47 2012


FIT:    data read from "zavislost_teplota.txt"  using 1:4
        format = x:z
        #datapoints = 5
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 34887.7           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda   : 58.6813

initial set of free parameter values

k               = 1
q               = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 0.000147842
rel. change during last iteration : -6.53232e-12

degrees of freedom    (FIT_NDF)                        : 3
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00702002
variance of residuals (reduced chisquare) = WSSR/ndf   : 4.92807e-05

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

k               = -0.00225349      +/- 0.0001068    (4.739%)
q               = 0.612271         +/- 0.008862     (1.447%)


correlation matrix of the fit parameters:

               k      q      
k               1.000 
q              -0.935  1.000