[R] a book recommendation, please [O/T]

Simon Blomberg s.blomberg1 at uq.edu.au
Tue Nov 8 23:56:36 CET 2016


How about Cox and Reid (2000) The Theory of the Design of Experiments. 
It has S-PLUS code in the back, which should pretty much work with R.


On 08/11/16 22:24, Spencer Graves wrote:
>       Have you considered Box and Draper (2007) Response Surfaces, 
> Mixtures, and Ridge Analyses, 2nd Edition?
>
>
>       You probably know that George Box invented the field of Response 
> Surfaces with  Box, G. E. P. and Wilson, K.B. (1951) On the 
> Experimental Attainment of Optimum Conditions (with discussion). 
> Journal of the Royal Statistical Society Series B13(1):1–45.
>
>
>       This book describes how to design experiments to get the data to 
> optimize a physical process.  I haven't been teaching in academia for 
> the past 25 years, but I taught an advanced course from the first 
> edition of this book when I did.
>
>
>       Still, any title "with R" sounds like it's worth reviewing and 
> maybe using.
>
>
>        Spencer Graves
>
>
> On 11/8/2016 12:36 AM, Erin Hodgess wrote:
>> I like BH^2 as well as a reference book! I actually think I will go with
>> the DOE with R by Larson.  Thanks to all for the help!
>>
>> Sincerely,
>> Erin
>>
>>
>> On Mon, Nov 7, 2016 at 10:59 PM, Bert Gunter <bgunter.4567 at gmail.com> 
>> wrote:
>>
>>> Have you looked here:
>>>
>>> https://www.amazon.com/s/ref=sr_pg_2?rh=n%3A283155%2Ck%
>>> 3Aexperimental+design&page=2&keywords=experimental+design&
>>> ie=UTF8&qid=1478580868
>>>
>>> I would think your choice depends strongly on the arena of application.
>>>
>>> Of course I like BH^2, but that was because I was taught by them.
>>>
>>> Cheers,
>>> Bert
>>> Bert Gunter
>>>
>>> "The trouble with having an open mind is that people keep coming along
>>> and sticking things into it."
>>> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>>>
>>>
>>> On Mon, Nov 7, 2016 at 8:13 PM, Erin Hodgess <erinm.hodgess at gmail.com>
>>> wrote:
>>>> Hello!
>>>>
>>>> Could someone recommend a good book on Design of Experiments for a
>>> Master's
>>>> in Data Analytics, please?
>>>>
>>>> I use Montgomery's book for my undergrad course, but was thinking 
>>>> about
>>>> something a little more advanced for this one.
>>>>
>>>> Any help much appreciated, particularly with R-related texts.
>>>>
>>>> Sincerely,
>>>> Erin
>>>>
>>>>
>>>> -- 
>>>> Erin Hodgess
>>>> Associate Professor
>>>> Department of Mathematical and Statistics
>>>> University of Houston - Downtown
>>>> mailto: erinm.hodgess at gmail.com
>>>>
>>>>          [[alternative HTML version deleted]]
>>>>
>>>> ______________________________________________
>>>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>>> PLEASE do read the posting guide http://www.R-project.org/
>>> posting-guide.html
>>>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide 
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

-- 
Simon Blomberg, BSc (Hons), PhD, MAppStat, AStat.
Senior Lecturer and Consultant Statistician
School of Biological Sciences
The University of Queensland
St. Lucia Queensland 4072
Australia
T: +61 7 3365 2506
email: S.Blomberg1_at_uq.edu.au
http://www.evolutionarystatistics.org

Policies:
1.  I will NOT analyse your data for you.
2.  Your deadline is your problem.

Basically, I'm not interested in doing research and
I never have been. I'm interested in understanding,
which is quite a different thing. And often to
understand something you have to work it out
for yourself because no one else has done it.
- David Blackwell



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