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

Martin Henry H. Stevens HStevens at muohio.edu
Fri May 17 20:30:14 CEST 2002


Dear Sir:
It started here, and what is one to do? Thank you for your comments.
Dr. MHH Stevens
At 12:16 PM 5/17/2002, ripley at stats.ox.ac.uk wrote:
>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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Martin Henry H. Stevens, Assistant Professor
338 Pearson Hall
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Miami University
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