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Sun Nov 8 21:53:29 2009
FIT: data read from "carnot.txt" using 1:2
#datapoints = 4
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
*******************************************************************************
Sun Nov 8 21:54:06 2009
FIT: data read from "carnot.txt" using 1:2
#datapoints = 4
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.93726 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.708582
initial set of free parameter values
a = 1
b = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 1.29854e-06
rel. change during last iteration : -2.24111e-11
degrees of freedom (FIT_NDF) : 2
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000805774
variance of residuals (reduced chisquare) = WSSR/ndf : 6.49272e-07
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 1.04815 +/- 0.01257 (1.199%)
b = 0.00517276 +/- 0.0008125 (15.71%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.868 1.000
*******************************************************************************
Sun Nov 8 21:55:11 2009
FIT: data read from "carnot.txt" using 1:2
#datapoints = 4
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.29854e-06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.708582
initial set of free parameter values
a = 1.04815
b = 0.00517276
After 1 iterations the fit converged.
final sum of squares of residuals : 1.29854e-06
rel. change during last iteration : -2.44611e-15
degrees of freedom (FIT_NDF) : 2
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000805774
variance of residuals (reduced chisquare) = WSSR/ndf : 6.49272e-07
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 1.04815 +/- 0.01257 (1.199%)
b = 0.00517276 +/- 0.0008125 (15.71%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.868 1.000
*******************************************************************************
Mon Nov 9 00:52:29 2009
FIT: data read from "carnot.txt" using 1:2
#datapoints = 4
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.93726 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.708582
initial set of free parameter values
a = 1
b = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 1.29854e-06
rel. change during last iteration : -2.24111e-11
degrees of freedom (FIT_NDF) : 2
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000805774
variance of residuals (reduced chisquare) = WSSR/ndf : 6.49272e-07
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 1.04815 +/- 0.01257 (1.199%)
b = 0.00517276 +/- 0.0008125 (15.71%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.868 1.000
*******************************************************************************
Mon Nov 9 00:53:49 2009
FIT: data read from "carnot.txt" using 1:2
#datapoints = 4
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.29854e-06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.708582
initial set of free parameter values
a = 1.04815
b = 0.00517276
After 1 iterations the fit converged.
final sum of squares of residuals : 1.29854e-06
rel. change during last iteration : -2.44611e-15
degrees of freedom (FIT_NDF) : 2
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000805774
variance of residuals (reduced chisquare) = WSSR/ndf : 6.49272e-07
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 1.04815 +/- 0.01257 (1.199%)
b = 0.00517276 +/- 0.0008125 (15.71%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.868 1.000
*******************************************************************************
Mon Nov 9 00:55:32 2009
FIT: data read from "carnot.txt" using 1:2
#datapoints = 4
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.29854e-06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.708582
initial set of free parameter values
a = 1.04815
b = 0.00517276
After 1 iterations the fit converged.
final sum of squares of residuals : 1.29854e-06
rel. change during last iteration : 0
degrees of freedom (FIT_NDF) : 2
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000805774
variance of residuals (reduced chisquare) = WSSR/ndf : 6.49272e-07
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 1.04815 +/- 0.01257 (1.199%)
b = 0.00517276 +/- 0.0008125 (15.71%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.868 1.000
*******************************************************************************
Mon Nov 9 00:57:36 2009
FIT: data read from "carnot.txt" using 1:2
#datapoints = 4
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.29854e-06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.708582
initial set of free parameter values
a = 1.04815
b = 0.00517276
After 1 iterations the fit converged.
final sum of squares of residuals : 1.29854e-06
rel. change during last iteration : 0
degrees of freedom (FIT_NDF) : 2
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000805774
variance of residuals (reduced chisquare) = WSSR/ndf : 6.49272e-07
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 1.04815 +/- 0.01257 (1.199%)
b = 0.00517276 +/- 0.0008125 (15.71%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.868 1.000