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Re: Optimisation of statistic calculations
From: |
Jason Stover |
Subject: |
Re: Optimisation of statistic calculations |
Date: |
Thu, 4 Nov 2004 14:51:05 +0000 |
User-agent: |
Mutt/1.4.2.1i |
> 2. Use a generic optimization module. GSL provides one that could be
> hooked in to PSPP. Different statistical estimation procedures use
> the same backend algorithms (e.g., sorting for nonparametric routines
> and Newton-Rhapson for generalized linear models). A single optimizer,
> or other backend routines, can eliminate a lot of redundancy.
>
> I briefly looked at the gsl manual, but couldn't see any mention of
> this. Can you give me a reference to where this is documented?
>
I had in mind the module for multidimensional minimization. GSL
also has a module for least squares fitting and non-linear least
squares fitting. I haven't taken a thorough look at PSPP, so
I might be off base here, but I think the multidimensional minimizer
is appropriate for most statistical optimization problems like
generalized linear models.
-Jason
>
> J'
>
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