Finding the confidance interval fminsearch

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Ali
Ali on 27 Nov 2015
%I have a problem finding the error of my parameters x(0) to x(3)
%i have 2 functions with 2 or 3 unknowns x(i) I measured M and Q as a function of time (Time2).
% to find the optimal solution I minimised the squared error of my functions.
% How can i find the individual error of my parameters and or their confidance intervals
modelMf=@(x) 1*x(1)*x(2)*(1-exp(-x(3)/1000*Time2)); %x = <S> , Minf, kbl
modelQf=@(x) 2*(x(2)-1)*(1-x(3)/1000*Time2./(exp(x(3)/1000*Time2)-1))+u*x(2)*(1-exp(-x(3)/1000*Time2));
LS=@(x)(sum((modelMf(x)-M).^2)+sum((modelQf(x) - Q).^2));
options = optimset();
[x0,fv] = fminsearch(LS,[1 1 0.01],options)

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