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What are the panel's recommendations for books on design of experiments?

Ideally, books should be still in print or available electronically, although that may not always be feasible. If you feel moved to add a few words on what's so good about the book that would be great too.

Also, aim for one book per answer so that voting can help sort the suggestions.

(Community Wiki, please edit the question if you can make it better!)

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see this similar existing question: stats.stackexchange.com/questions/1352/… –  Jeromy Anglim Aug 18 '10 at 9:27
    
@Jeromy Fair enough, but all the answers there so far have managed to avoid recommending even a single book! –  walkytalky Aug 18 '10 at 13:14
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I agree more discussion from a different angle would be great. I was just posting the other question as related supplementary reading. –  Jeromy Anglim Aug 18 '10 at 13:53
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See also this question (asked with specific reference to designining clinical trials): stats.stackexchange.com/questions/2770/… –  Freya Harrison Sep 18 '10 at 21:02
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14 Answers

Montgomery's Design and Analysis of Experiments is a classic and highly regarded text:

If you are interested in experimental design in a particular field (eg. clinical trials) other more specialised texts may be appropriate.

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I had a look at this, and it's perfectly fine but has a bit too much of the feel of an undergraduate text book for my tastes. Not that there's anything wrong with that... –  walkytalky Aug 27 '10 at 9:44
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Very nice book indeed! I've started long ago to reproduce his analysis (with Design Expert and SAS) using R, but never find time to finish it. If you like to check it out, aliquote.org/articles/tech/dae –  chl Aug 27 '10 at 11:17
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for me, the best book around is by George Box:

Statistics for Experimenters: Design, Innovation, and Discovery

of course the book by Maxwell and Delaney is also pretty good: Designing Experiments and Analyzing Data: A Model Comparison Perspective, Second Edition

I personally prefer the first, but they are both top quality. They are a little bit expensive, but you can definitely find a cheap earlier edition for sale.

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+1 for Maxwell & Delaney! –  Henrik Aug 18 '10 at 16:40
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Experiments: Planning, Analysis and Optimization by Wu & Hamada.

I'm only a couple of chapters in, so not yet in a position to recommend confidently, but so far it looks like a good graduate text, reasonably detailed, comprehensive and up-to-date. Has more of a "no nonsense" feel than the Montgomery.

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Ronald Fisher's The Design of Experiments (link is Wikipedia rather than Amazon since it is long out of print) is interesting for historical context. The book is often credited as founding the whole field, and certainly did a lot to promote things like blocking, randomisation and factorial design, though things have moved on a bit since.

As a period document it's quite fascinating, but it's also maddening. In the absence of a common terminology and notation, a lot of time is spent painstakingly explaining things in what now seems comically-stilted English. If you had to use it as a reference to look up how to calculate something you'd probably gnaw your own leg off. But the terribly polite hatchet job on some of Galton's analysis is entertaining.

(I know, I know -- how the readers of tomorrow will laugh at the archaisms of today's scientific literature...)

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I am surprise no one mentioned: Statistical Design by George Casella

Google Books Link

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Experimental Design for the Life Sciences, by Ruxton & Colegrave. Aimed primarily at undergraduates.

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There are many excellent books on design of experiments. These procedures apply generally and I do not think there are special designs specific to bakery applications. Here are a few of my favorites.

  1. Statistics for Experimenters: Design, Innovation, and Discovery , 2nd Edition [Hardcover] George E. P. Box (Author) J. Stuart Hunter (Author), William G. Hunter (Author)

  2. Design and Analysis of Experiments [Hardcover] Douglas C. Montgomery (Author)

  3. Design of Experiments: An Introduction Based on Linear Models (Chapman & Hall/CRC Texts in Statistical Science) [Hardcover] Max Morris (Author)

  4. Design and Analysis of Experiments (Springer Texts in Statistics) [Hardcover] Angela M. Dean (Author), Daniel Voss (Author)

  5. Experiments: Planning, Analysis, and Optimization (Wiley Series in Probability and Statistics) [Hardcover] C. F. Jeff Wu (Author), Michael S. Hamada (Author)

  6. Statistical Design and Analysis of Experiments, with Applications to Engineering and Science [Hardcover] Robert L. Mason (Author), Richard F. Gunst (Author), James L. Hess (Author)

  7. Statistical Design and Analysis of Experiments (Classics in Applied Mathematics No 22. ) [Paperback] Peter W. M. John (Author)

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Not published yet, but I'm impatient for Design and analysis of experiments with R

There are not enough books on DoE with R. I'm very reluctant to proprietary software, and R documentation is not always the best

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If you're interested in pharmaceutical trials, two books I recommend:

  1. Statistical Issues in Drug Development by Stephen Senn (Amazon link)
  2. Cross-over Trials in Clinical Research by Stephen Senn (Amazon link)
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Not really a book but a gentle introduction on DoE in R: An R companion to Experimental Design.

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The Design of Experiments: Statistical Principles for Practical Applications by Roger Mead. Examples are drawn from agriculture and biology, so probably most appropriate if you're interested in one of those fields. Rather expensive for a 600-page paperback but you can probably find it second-hand.

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If your field is biology/ecology, a nice and well written text is "Experimental Design and Data Analysis for Biologists" of Quinn and Keough (amazon

the work done by Underwood is also very interesting to read:

Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance (amazon)

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