A DOE Handbook:: A Simple Approach to Basic Statistical Design of Experiments
J**B
A "great explainer" of otherwise confusing statistical methods
A good qualitative look at DOE's with layman's explanations. It's tough to make statistics interesting AND informative, but the authors struck a reasonable balance.I do not think it's a good standalone text, but it is excellent when used alongside a textbook or with six sigma training materials. The examples were accessible to a total beginner like me, but several of them took some time and thought.I'm removing 1 star due to poor copy editing. There are many typos and unnecessarily long sentences. I was constantly re-reading sentences and paragraphs that were poorly communicated. If the authors are releasing a second edition, then I would HIGHLY recommend they hire a good editor.
M**N
Great book for the price, aimed for practical use
This is a great, cheap little book that could potentially save you a lot of time, money and headache when approaching the problem of how to design effective experiments for science and industry. They focus on the particular concept of "projectability" in terms of how to avoid full factorial designs and still keep to the Pareto (80/20) rule in finding valuable experimental factors. Worth the purchase; the graphics are low-tech and effective, the bibliography is also great.
D**.
The tables in the appendices would be likely useful to someone looking to quickly design a new experiment ...
This book is a clear, quick, and qualitative intro to Design of Experiments complete with a lot of examples relevant to industry. I found it to be quite readable as well. It also has a bunch of (non-critical) spelling and punctuation typos, which caused me to knock off a star. The tables in the appendices would be likely useful to someone looking to quickly design a new experiment as well.
G**S
I recommend it.
This is a well-written, to the point book on the subject Design of Experiments. It is a short book, but I learned a lot from it. The language of the book is ideal for the layman or for one being introduced to the subject. I recommend it.
S**.
Short simple and to the point.
Does not stress the math.
L**1
Cuts through the unnecessary detail to get to what really matters
Provides what scientists need to start generating efficient, effective experiments. Cuts through the unnecessary detail to get to what really matters. Well worth it. Makes a good companion to the classic by Box, Hunter and Hunter.
O**R
reasonable for what it covers
The book is well laid out but lacks a reasonable ending. Yes, a bit of linear algebra for the needed equations should have been covered.
B**N
Five Stars
This is a great little book
J**K
DOE guidance
good guidance, clear examples
F**O
A book for beginners (like me)
Bought this little book to help me with a little problem with my research. It is rather basic and contains a few spelling mistakes, but it does the job it was written for: give absolute beginners a basic idea of how DoE works and point in the right direction to get started. It covered all my needs and helped me set up the relevant experiments I had to do. I think is a good place to start on the subject. Advanced users might want something more technical as this book starts from baseline assuming the reader knows nothing on the subject, to begin with.
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