`must read' list [R] Fisher (was Blue Book)

[ripley@stats.ox.ac.uk]

Is this the right place for this?  Has it been done elsewhere?

For me (and I'm not admitting to being `senior', which is often a
euphemism for `old') it depends on what `statistics' means.  When I was
first a Lecturer, David Cox's interests were given as `Statistics and
Applied Probability except *', and I've long forgotten * but believe it
changed from year to year.  No one starting now can aspire to that breadth
of coverage.

So to take one example,

   DR Cox (1958) Planning of Experiments

is a `must read' for people planning experiments.  But many statisticians
never will.

Also, the value of many classic books has been dimmed by the computational
changes in genuinely modern statistics.  I am thinking of regression books
like Daniel & Wood and Draper & Smith,  Anderson's 1958 Multivariate
Analysis, Box & Jenkins on Time Series, Tukey on EDA.

I've looked along my 15m(etres) of books without seeing one that I would
recommend as a `must read' to _everyone_ reading R-help.  And yes,
Fisher's main books are there (and I have read them more than once).


On 17 May 2002, Ernesto Jardim wrote:

> I support this idea of a "must read" list. It will be very usefull, for
> me at least.
>
> Regards
>
> EJ
>
> On Fri, 2002-05-17 at 15:55, Ravi Varadhan wrote:
> > Dear Group:
> >
> > Along similar lines of this question, I'd like to ask senior statisticians
> > in the group to recommend their list of "must read" classics in statistics.


-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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