The options for fitting include, as reported by the documentation: "If the current page is an average, then the standard deviation from the curves that were used to create the average can be used as weights."
It sounds better to rather use the SEM (standard error of the mean) from the curves to weight the fit. In this case, the reduced khi-2 is expected to fall around the mean value 1 (with some statistical distribution, of course).
Do you agree about this and, if so, can it be fixed?
Regards, Antoine
PS: thx for PyCorrFit which is really a simple but very efficient and well suited FCS soft.
The options for fitting include, as reported by the documentation: "If the current page is an average, then the standard deviation from the curves that were used to create the average can be used as weights."
It sounds better to rather use the SEM (standard error of the mean) from the curves to weight the fit. In this case, the reduced khi-2 is expected to fall around the mean value 1 (with some statistical distribution, of course).
Do you agree about this and, if so, can it be fixed?
Regards, Antoine
PS: thx for PyCorrFit which is really a simple but very efficient and well suited FCS soft.