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On Jun 25, 8:32 pm, janwillem <[email protected]> wrote:
> I would think that a thesis project with a more hefty CAS aspect would
> be inclusion in SymPy of methods for deriving distributions that are
> functions of other distributions. I mean the techniques that are dealt
> with in chapter 4 of the Mathstatica book (Rose & Smith, Mathematical
> statistics with Mathematica, 2001 edition): transformation method and
> moment generating functions (MGF) method. Practical publishable
> applications can probably, a.o., be found in the study of measurement
> uncertainty. Inspiration might be found in papers in Metrologia (many
> freely available atwww.bipm.int) and other metrological journals. A
> subject for a publication can be comparing uncertainty analysis using
> a conventional approach (Law of Propagation of Uncertainties ans
> Central Limit Theorem LPU/CLT) an analytical approach using
> convolution of pdf's and the numerical approach using Monte Carlo
> techniques.
> All the best, Janwillem
>
> On Jun 25, 4:42 pm, cjkogan111 <[email protected]> wrote:
>
> > Good idea Ondrej. I can motivate the creation of a general stat module
> > as a tool for a specific problem.
> > Clark
>
> > On Jun 24, 6:43 pm, Ondrej Certik <[email protected]> wrote:
>
> > > On Wed, Jun 24, 2009 at 6:36 PM, cjkogan111<[email protected]> wrote:
>
> > > > Thanks Robert & Ondrej,
> > > > I appreciate the helpful comments. I think that might be a good idea
> > > > to focus, even though what I think would be most helpful to the
> > > > community is just to make a general stat module.
>
> > > Indeed. But you can do both -- a general stat module and in particular
> > > something that can also be published.
>
> > > Ondrej
>
>
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