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fit.log
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fit.log
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*******************************************************************************
Mon Jan 26 17:12:44 2009
FIT: data read from "data/http-web2.lab.points" using ($1==100?$2:1/0):(($3+$4+$5)/$1)
#datapoints = 3
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.14345e+12 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 436559
initial set of free parameter values
fa = 1
fb = 1
After 9 iterations the fit converged.
final sum of squares of residuals : 1.89574
rel. change during last iteration : -2.96085e-08
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.37686
variance of residuals (reduced chisquare) = WSSR/ndf : 1.89574
Final set of parameters Asymptotic Standard Error
======================= ==========================
fa = 2.22447e-05 +/- 1.662e-06 (7.47%)
fb = 2.91258 +/- 1.026 (35.22%)
correlation matrix of the fit parameters:
fa fb
fa 1.000
fb -0.632 1.000
*******************************************************************************
Mon Jan 26 17:12:44 2009
FIT: data read from "data/http-web.lab.points" using ($1==100?$2:1/0):(($3+$4+$5)/$1)
#datapoints = 3
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.14356e+12 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 436578
initial set of free parameter values
ga = 1
gb = 1
After 9 iterations the fit converged.
final sum of squares of residuals : 0.127518
rel. change during last iteration : -4.75078e-08
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.357097
variance of residuals (reduced chisquare) = WSSR/ndf : 0.127518
Final set of parameters Asymptotic Standard Error
======================= ==========================
ga = 1.62193e-05 +/- 4.333e-07 (2.672%)
gb = 1.6179 +/- 0.2675 (16.54%)
correlation matrix of the fit parameters:
ga gb
ga 1.000
gb -0.637 1.000
*******************************************************************************
Mon Jan 26 17:13:00 2009
FIT: data read from "data/http-web2.lab.points" using ($1==100?$2:1/0):(($3+$4+$5)/$1)
#datapoints = 3
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.14345e+12 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 436559
initial set of free parameter values
fa = 1
fb = 1
After 9 iterations the fit converged.
final sum of squares of residuals : 1.89574
rel. change during last iteration : -2.96085e-08
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.37686
variance of residuals (reduced chisquare) = WSSR/ndf : 1.89574
Final set of parameters Asymptotic Standard Error
======================= ==========================
fa = 2.22447e-05 +/- 1.662e-06 (7.47%)
fb = 2.91258 +/- 1.026 (35.22%)
correlation matrix of the fit parameters:
fa fb
fa 1.000
fb -0.632 1.000
*******************************************************************************
Mon Jan 26 17:13:00 2009
FIT: data read from "data/http-web.lab.points" using ($1==100?$2:1/0):(($3+$4+$5)/$1)
#datapoints = 3
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.14356e+12 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 436578
initial set of free parameter values
ga = 1
gb = 1
After 9 iterations the fit converged.
final sum of squares of residuals : 0.127518
rel. change during last iteration : -4.75078e-08
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.357097
variance of residuals (reduced chisquare) = WSSR/ndf : 0.127518
Final set of parameters Asymptotic Standard Error
======================= ==========================
ga = 1.62193e-05 +/- 4.333e-07 (2.672%)
gb = 1.6179 +/- 0.2675 (16.54%)
correlation matrix of the fit parameters:
ga gb
ga 1.000
gb -0.637 1.000
*******************************************************************************
Mon Jan 26 17:29:15 2009
FIT: data read from "data/http-web2.lab.points" using ($1==100?$2:1/0):(($3+$4+$5)/$1)
#datapoints = 3
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.1434e+12 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 436559
initial set of free parameter values
fa = 1
fb = 1
After 9 iterations the fit converged.
final sum of squares of residuals : 0.946952
rel. change during last iteration : -4.34386e-08
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.973115
variance of residuals (reduced chisquare) = WSSR/ndf : 0.946952
Final set of parameters Asymptotic Standard Error
======================= ==========================
fa = 4.38091e-05 +/- 1.174e-06 (2.681%)
fb = 2.63729 +/- 0.725 (27.49%)
correlation matrix of the fit parameters:
fa fb
fa 1.000
fb -0.632 1.000
*******************************************************************************
Mon Jan 26 17:29:15 2009
FIT: data read from "data/http-web.lab.points" using ($1==100?$2:1/0):(($3+$4+$5)/$1)
#datapoints = 3
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.1435e+12 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 436578
initial set of free parameter values
ga = 1
gb = 1
After 9 iterations the fit converged.
final sum of squares of residuals : 0.00582959
rel. change during last iteration : -6.26007e-06
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0763517
variance of residuals (reduced chisquare) = WSSR/ndf : 0.00582959
Final set of parameters Asymptotic Standard Error
======================= ==========================
ga = 4.31359e-05 +/- 9.265e-08 (0.2148%)
gb = 2.51655 +/- 0.0572 (2.273%)
correlation matrix of the fit parameters:
ga gb
ga 1.000
gb -0.637 1.000