Hello all,
Lets say we take some measurements at 3 equally spaced intervals of our independent variable. The same number of measurements are taken at each level. We then fit a nonlinear model with three parameters to the individual data and get one set of estimates for the parameters. We also fit the model to the mean at each level and got the same set of estimates as with the individual data. I have a feeling this seems to makes sense but I am not sure.
Our client wants us to fit the model to the individual values though our reference said to use the mean. We are also performing bootstrapping with this model and it looks like using the individual values is 30-50 times slower (which if the estimates are the same then it would makes sense that our reference would say to use the mean).
Any thoughts and insights would be appreciated.
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