[R] textbook on experimental design?

eac@ma.adfa.edu.au eac at ma.adfa.edu.au
Thu Sep 20 01:41:32 CEST 2001

Many thanks to all who have replied so far.

Yes, Cochran & Cox is an old favourite of mine. I've also got, on my top
shelf, an old Genstat manual . . . maybe it's time I dusted it off.

It's surprising how old most of the books are that people are referring
to. The availability of great software like R means that the whole
emphasis of an experimental design course needs to change, I feel.
An elementary version of Chapter 6 of VR, expanded from 70 pages to 300 or
so, would be just the trick. Maybe Bill Venables should put it on his
to-do list . . .


Dr E.A. Catchpole
School of Maths & Stats                Honorary Senior Research Fellow
University College, UNSW               Institute of Maths & Stats
Australian Defence Force Academy       University of Kent at Canterbury
Canberra, ACT 2600, Australia          Canterbury CT2 7NF, England
e-catchpole at adfa.edu.au                E.A.Catchpole at ukc.ac.uk
fax: +61 2 6268 8886

On 19 Sep 2001, Peter Dalgaard BSA wrote:

> kjetil halvorsen <kjetilh at umsanet.edu.bo> writes:
> > Hola!
> >
> > Might be thta Montgomery's is becoming a classic, but
> > to actually learn design of experiments for the first time from that
> > book seems rather difficult to me. Better to go with an
> > other classic, Bkox, Hunter & Hunter "Statistics for experimenters"
> > (which exist in a spanish translation, if anyone interested)
> >
> > Kjetil Halvorsen.
> Also, in this context one should probably mention Cochran & Cox:
> Experimental Designs. Probably mostly as supplemental reading, it is
> not much of a textbook, and it has the weakness that it doesn't have
> anything about random effects. However, it is a classic (and the
> slightly old-fashioned style can be quite charming for students), and
> some may remember that good ol' Genstat came with a full set of worked
> examples from that book to show how the model formulas would work out.
> --
>    O__  ---- Peter Dalgaard             Blegdamsvej 3
>   c/ /'_ --- Dept. of Biostatistics     2200 Cph. N
>  (*) \(*) -- University of Copenhagen   Denmark      Ph: (+45) 35327918
> ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk)             FAX: (+45) 35327907

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