abedhaddad We are on it at last.
At the moment there is an issue with the averaging approach. The aging curves are not measured at exactly the same points in time. I mean, after you start an aging, the time intervals from one measurement to the next does not be the same in different curves.
The jitter comes from the operating system itself.
How would you like us to make an average? If we have an aging curve A and we use its time coordinates for averaging,
we would have to interpolate all the other curves at those coordinates.
However, interpolation is kind of averaging already, right? It takes two points and finds a third one in between. And you can treat it as weighted average of the two points.
So, if we have curves B, C, and D, and we average them with A than there is a mathematical bias right there.
In a sense, B, C, and D are “more” averaged than A.
You may think that, for example, taking first average of all the time points (from A, B, C and D) and do interpolation on all of the curves does not remove the bias from the data.
