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If the coefficient of variation (CV) is below 10% for all your parameters then your model is probably doing quite well. Occasionally one or two or the parameters may have higher CV values. This indicates that the program is not able to provide more precise estimates for these parameters. Maybe these parameters are not necessary. As the CV increases above 15%, above 25%, greater than 100% you are provided with the evidence that the model may be too large. You should consider looking at a smaller model, removing or replacing parameters with larger CV values.
Some non linear regression programs provide a table of correlation coefficients between the adjustable parameters of the model. A high correlation (> 0.90 or > 0.95) between two parameters suggests that one parameter may replace both or that an otherwise smaller model maybe worth exploring.
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