*** REGRESSION ANALYSIS *** Regression on sigmoid curve, in order to find the derivatives.
The problem is kinda straight forward: I want to find the so called "meltingpoint" \(T_{M}\) which we define as the maximum of the derivatives. The situation is also shown in the attachment. I got lots of data with the OD as a function of the temperature at a corresponding concentration. How would you guys attack this problem?
I was personally thinking in terms of fitting with a \(n\)'th polynomial and then differentiate it \(n-1\) times and set the derivative equal to zero and solve for the melting point.
A very poor picture of my data is found in the following attachment.
Sorry, don't have the time to look at it right now. Gotta go. Maybe later.
@abb0t I really need your help here.
the derivative is a slope. (henceforth, the ratio of change in the value of the function to change in the independent variable.)
Yea, but I wonder if it a somehow valid approximation, haven't done non-linear regression in a long time.
In other words, best fit line....
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