Reply to OP and the list.
There used to be a useful book entitled "Computational Handbook of
Statistics", by Bruning and Kintz; don't recall the publisher.
Original edition was published about 1970 and I was aware of at least a
third edition some years later; don't know if it's still current, but
copies might be found in a university library. Probably viewed as not
useful these days, when if you want a t-test you pull down the "stats"
menu in a software program, select "t-test", and follow the dialogue
boxes, and don't have to do the arithmetic "by hand".
It was devoted to describing how to carry out standard statistical
techniques; it sort of treated the reader like a computer terminal, and
programmed the reader through each procedure. ("Step 1. List the data
[showing a useful format for so doing]. Step 2. Add the data in each
column." And so on.) For each technique that it described it also
provided a short list of references, which the reader could consult if
he wanted to know anything about the statistical theory underlying the
technique.
I don't know the Bronstein book, so don't know whether Bruning & Kintz
might be useful to you or not.
On Sat, 31 Jan 2004, enclume42 wrote:
> I am looking for a handbook of statistics a bit similar in style to
> that the Bronstein has for general mathematics.
>
> I have a physics background, thus I am familiar with math, but I am
> missing some statistics terminology and I miss some basic statistical
> methods. Ideally the book should thus cover all what a good graduate
> statistician should be aware of.
>
> For example, I would like to find each classical variant of a t-test
> described in ~2 pages, with a short introductory text describing the
> ideas behind the method, followed by a list of the assumptions of the
> method (e.g. normality of data distribution) and then the procedure to
> actually conduct the calculations (in mathematical terms). Examples
> and references to specific statistical packages should be kept to a
> minimum.
>
> I have been looking for such a book for months, but I always end up
> finding textbooks in which the essence of the methods is diluted into
> pages of general -even trivial- considerations (which makes me fall
> asleep), or in specialized books in which the basics are missing (the
> book should start with the definition of the mean).
>
> Any suggestion ? :-)
Bonne chance! -- DFB.
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Donald F. Burrill [EMAIL PROTECTED]
56 Sebbins Pond Drive, Bedford, NH 03110 (603) 626-0816
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