GregLocock
Automotive
- Apr 10, 2001
- 23,701
I have a curve of experimental data, and another curve of the output from a model. I intend to use an optimiser to change my model to improve the fit between its output, and that of the test data.
To do so I need a measure of the goodness of fit of the test and model output data.
Obvious options to measure this goodness of fit are the sum of the difference squared between the two at various points, or the area between the two curves.
The test data is monotonic, and can be assumed to be at the same interval of independent variable eg timebase as the model output.
What other measures of fit should we consider?
Cheers
Greg Locock
New here? Try reading these, they might help FAQ731-376
To do so I need a measure of the goodness of fit of the test and model output data.
Obvious options to measure this goodness of fit are the sum of the difference squared between the two at various points, or the area between the two curves.
The test data is monotonic, and can be assumed to be at the same interval of independent variable eg timebase as the model output.
What other measures of fit should we consider?
Cheers
Greg Locock
New here? Try reading these, they might help FAQ731-376