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. >-- Erin Hodgess Associate Professor Department of Mathematical and Statistics University of Houston - Downtown mailto: erinm.hodgess at gmail.com [[alternative HTML version deleted]]
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.
>
>
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