I have this equation: $y(t)=aE^{-bE^{-ct}}$ and I have this list:
{{0.11, 0.78}, {0.12, 0.81}, {0.88, 2.37}, {1.17, 2.8}, {1.48, 2.84}, {1.96, 3.2}, {2.98, 3.42}, {3.27, 3.19}, {3.61, 3.23}, {3.75, 3.09}}
which is (t, y(t)). Now I want to use that information of y(t) and t to solve in y(t) for a b and c. I think I would have to use each pairs once at a time but is there a command to loop through to entire list and solve using those pairs of values? Thank you.
NonlinearModelFit
$\endgroup$data
are your list of values, the instead ofLog[a+b x^a]
put the form of your model, instead of{a,b}
, your have three fit parameters{a,b,c}
and you want to fit overt
notx
(provided you continue to uset
in your model). $\endgroup$tyt
list isn't well formed, or you haven't got spaces between yourb
andE
and / orc
andt
. $\endgroup$