Background:
The glucase turnover rate is modeled by an exponential equation with four
unknown parameters to be estimated.
The Mathematical Model:
The fitting criterion is given in the form
R_{i} = C_{p}(t) C_{m} (A/a (1 - exp(-a t)) + B/b (1 - exp(-b t)))
Cm is a constant and
C_{p}(t) is a linear
interpolation of some tabulated data. All other parameters are unknown.
Implementation:
The complete solution of a data fitting problem is described
in six
steps:
Results:
Then you would like to take a look at reports and graphs:
- parameter values
- experimental data versus fitting criterion
Model equations (or use your own favorite editor):
Measurement data (or use import function for text file or Excel):
Parameters, tolerances and start of a data fitting run:
Numerical results (computed by the least squares code DFNLP):
Report on parameter values, residuals, performance, etc. (or export to Word):
Experimental data versus fitting criterion (also available for Gnuplot):