On Fri, Oct 26, 2012 at 1:23 PM, Thomas Haslwanter
> I am trying to get started in statistical modeling and stats, as I am
> supposed to hold a stats course at my institution in the next semester.
> Having spent some time with S, and having looked at R, I hated the syntax of
> R, and would like to do as much as possible in Python. "statsmodels" seems
> to be the leading Python package for statistical modeling. But I have to
> admit, that with the documentation provided, I have a VERY hard time getting
> Can anyone recommend any literature on statistical modeling, which might
> help me getting up to speed?
What field, what topics, what level?
I use mostly econometrics, specialized textbooks and articles.
In statistics, there are some books partially oriented towards R but should
be useful for working with statsmodels.
For many fields there are specifically written textbooks, where statsmodels
might cover some range.
One difference between textbooks and fields is for example the
emphasis on experimental and categorical data versus
non-experimental data and associated problems in econometrics.
Hopefully someone can answer with books that they used.
I can look up some general references but except for a few
econometrics books I never worked through any of them.
The book Skipper and I used most often as reference is
1st year PhD level in economics
for econometrics in undergraduate economics, Stock Watson is good
Fox and Weisberg books "sound" good
I never read them, except for some appendices
Jonathan's course is useful for statistics
It would be good if we could collect some references for the documentation.
I started a Latex bib file, but didn't get very far yet.