Re: [DIYbio] A Comparison of the Effects of Three GM Corn Varieties on Mammalian Health

I guess the difference is that in 3D modelling, you're going the other
direction (model to world/output). In statistics or machine learning,
non-parametric models have the advantage of making fewer assumptions
on the shape of distributions, so they are considered better for some
applications.

On Mon, Apr 8, 2013 at 7:33 AM, Nathan McCorkle <nmz787@gmail.com> wrote:
> I've never heard of this journal, and their website looks like it's still in
> 1996.
> http://www.ijbs.com/v05p0706.htm
>
> This sentence struck me as odd, in 3D modelling parametric models are
> usually better...
> "We applied nonparametric methods, including multiple pairwise comparisons
> with a False Discovery Rate approach."
>
> --
> -Nathan
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--
met vriendelijke groet,
Jelmer Cnossen

tel: 0648709790

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