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5 results for “from:glenn andrews”

Singular Gradient in nls
glenn andrews · Mar 28, 2008 · r-help

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Significance of confidence intervals in the Non-Linear Least Squares Program.
glenn andrews · Mar 26, 2008 · r-help

I am using the non-linear least squares routine in "R" -- nls. I have a dataset where the nls routine outputs tight confidence intervals on the 2 parameters I am solving for. As a check on my results, I used...

Singular Gradient in nls
glenn andrews · Mar 30, 2008 · r-help

Is the nls() algorithm based on a weighted non-linear least squares -- I noticed you mentioned a weighted gradient matrix? Glenn Katharine Mullen wrote: >sorry, the below should read: > > A QR decomposition is done on the weighted gradient matrix; if...

[Re: Significance of confidence intervals in the Non-Linear Least Squares Program.]
glenn andrews · Mar 27, 2008 · r-help

What should I be looking for in the output of the nls() routine that alerts me to the fact that the Hessian is potentially ill-conditioned? Glenn Peter Dalgaard wrote: > glenn andrews wrote: > >> Thanks for the response. I was not...

[Re: Significance of confidence intervals in the Non-Linear Least Squares Program.]
glenn andrews · Mar 27, 2008 · r-help

Thanks for the response. I was not very clear in my original request. What I am asking is if in a non-linear estimation problem using nls(), as the condition number of the Hessian matrix becomes larger, will the t...

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