I´m currently working on a prediction model using Logistic 3P fit with JMP. I´m obtaining very good curves using the calculated fit model. The model is the following:
y= c/{1+exp[a*(x-b)]}
Where a is the growth factor, b is the inflexion point and c is the asymptote
My specific doubt is the following, How can I obtain a, b and c?
I need to justify my model with my data. Looking in my script, it only shows me something like that "Dispatch( {"Logistic 3P"}, "Prediction Model", OutlineBox, {Close( 0 )} ),". So finally I need to understand how I´m obtaining my prediction curves and the model. So I want to know how I can perform this kind of analysis using my data.
Best
Alonso
