The confidence interval is obtained by using command such as "NonlinearRegress". In my problem, I need to fit data1 with function f(k1, p1, k3, p3), and fit data2 with function f(k2, p2, k3, p3), finally get (k1, p1, k2, p2, k3, p3) with their confidence intervals...but if I use "NonlinearRegress", I can only fit one data at a time, for example
NonlinearRegress[data1, f(k1, p1, k3, p3)]
or
NonlinearRegress[data2, f(k2, p2, k3, p3)]
... then, k3 and p3 are not unique. So how to fit two data with two functions that share some same parameters, and then get confidence intervals? Thanks!!