Hi all,
I have a model in which 8 parameters are as follows P(t)= a1*A(t)+ a2*B(t)+ a3*B(t)^2+ a4*A(t)^2*B(t) +a5*A(t)^3+ a6*B(t)^3+ a7*A(t)^2*B(t)^2+a8*A(t)^5 Where P(t), A(t) and B(t) are known for any point of time or a sample of time. Then I want to obtain the value of a1, a2, a3,a4,a5,a6,a7, a8 with constrained a1>0, a20,a4>0,a50, a70. All parameters (a1, a2, a3,a4,a5,a6,a7, a8) are identified with the help of lsqlin function in matlab. I would like to know how can I compute confidence interval of identified parameter.
thank you
Richard Epenoy
Hi, as a1 to a8 appear linearly you have a linear least-square problem. The associated confidence interval can be computed using Matlab:
https://fr.mathworks.com/help/stats/compactlinearmodel.coefci.html
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