In non-linear systems, parameters may not be independent. Therefore, great care has to be given to the concept of parameter confidence intervals. It may be better to consider a confidence interval.
These can be calculated using bootstrapping, perhaps.
The nls tools package may be useful to understand and appreciate this.
Robustness test...
Run your data with 90% of the data, randomly selected.
If your values change dram
Concept 3
Testing down.
Put all the variables in and take them out one at a time.
Inspired by David F Hendry.
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