[SciPy-user] Some mathematics/statisctics books

[Peter Skomoroch]

Strang and the R books are good places to start....

for stats, check out:

*"All of Statistics*. A Concise Course in Statistical Inference". by Larry
Wasserman
http://www.stat.cmu.edu/~larry/all-of-statistics/index.html

On Tue, Jun 10, 2008 at 6:10 PM, Alan Jackson <alan at ajackson.org> wrote:

> For learning statistics, sorry they aren't python, but I really like :
>
> Introductory Statistics with R - Peter Dalgaard
> An R and S-plus Companion to Applied Regression - John Fox
> Primer of Biostatistics - Stanton Glantz
> Modern Applied Statistics with S - Venebles and Ripley
> Practical Time Series - Gareth Janacek
>
> For what you want, the first two in particular are probably relevant.
> Personally I switch between scipy and R frequently, depending on which
> one seems best for the problem at hand. They both have their strengths.
>
> On Tue, 10 Jun 2008 15:09:27 -0400
> "didier rano" <didier.rano at gmail.com> wrote:
>
> > Hi all,
> >
> > I am using Time Series moduled provided for scipy. I am very impressive
> by
> > scipy in general. But I don't have enough backgrounds to understand all
> > mathematics/statistics models inside scipy.
> >
> > Could you help to find some books, articles, courses to improve my
> > scientific backgrounds ? In particular, I need some knowledges to
> generate
> > graphs to show pertinent information (trends...).
> >
> > Thank you
> > Didier Rano
>
>
> --
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> | alan at ajackson.org          | And a Heaven in a Wild Flower,         |
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-- 
Peter N. Skomoroch
peter.skomoroch at gmail.com
http://www.datawrangling.com
http://del.icio.us/pskomoroch
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