nlparci for log-transformed data
1 view (last 30 days)
Show older comments
Hello,
I am using lsqcurvefit for data fitting of a dataset. I am log-transforming the data to estimate the parameters and am getting a good estimate of the values. But when I use "nlparci" to find the confidence intervals for these parameters, they are really large. "nlparci" gave reasonable confidence intervals when I did not log-transform the data. But I want to use log-transform to later implement log-additive error model. Is there other way to get the confidence interval?
This is what I am doing now:
[PK_params1,resnorm,residual,exitflag,output,lambda,J] = lsqcurvefit(@(PK_params1,xdata)LSQ_MulticompODE_Amount(PK_params1,R,xdatan),PK_paramsguess,xdatan,ydatan,lb,ub,options);
ci = nlparci(PK_params1,residual,'jacobian',J)
percent_error_estimate = ((PK_params1' - ci(:,1))./PK_params1').*100
0 Comments
Answers (0)
See Also
Categories
Find more on Least Squares in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!