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Design and Analysis of Experiments
- Sales Rank: #3620395 in Books
- Original language: English
- Dimensions: .0" h x .0" w x .0" l, 1.10 pounds
- Binding: Paperback
Most helpful customer reviews
36 of 36 people found the following review helpful.
Good text... but take the course
By Andrew
This is a good textbook if you're taking a course in engineering statistics. It is very thorough and goes farther into the theory than most people might want. As an engineer I think the theory is valuable because it is easy to improperly apply statistical analysis. Overall I think the book is clearly written and provides many real life examples. To some of the other reviewers comment though, real world means an example about a process, but Montgomery tends to be light on telling you how to do the actual analysis. If you're looking for a how to do Minitab (or any other stat software) this isn't for you. If you want to learn about statistical analysis and DOE and how to do it right, then it's a great text.
Summary:
-Clearly written
-Plenty of examples, though purchase the solutions guide if you've been assigned the homework
-Lots of theory
-Lots of real world examples
-Don't expect to learn an analysis software package
NOTE: If you want the basics of DOE and statistical analysis applied in a practical manner, I would highly recommend the freely available NIST/SEMATECH e-Handbook of Statistical Methods, http://www.itl.nist.gov/div898/handbook/
11 of 11 people found the following review helpful.
Dr. Montgomery's book
By Miguel M. "amazonholic"
I used Dr. Montgomery's book as a reference material for his course under Arizona State University's six sigma black belt program. The book starts with a good review of experimental design concepts and inferential statistics. However, I do find his other book, Statistical Process Control, to be a much better inferential stat reference than this one because it does not 'rush thru' the review. Moving to chapter three is where the genius of the author becomes apparent. His approach was to discuss the theoretical aspects of a particular topic, relate it to back inferential statistics, discuss special cases or related topics (like a journal review paper), present problem/s and then show/discuss the solution using either design expert or JMP and diagrams. I cannot find any other better approach. Some of the previous books that I read are kind of 'cookbooks' which shows the reader how to do stuff using some method or software but did not really explain mathematically why it must be done in a particular way. This book did it elegantly. One reviewer mentioned that it is not a good book for hand calculation, which is true, but who does hand calculation these days? I cannot imagine myself pulling a graphing paper and drawing a response surface graph after working on several pages of calculations.
The mathematics is not really hard ... only basic arithmetic and some basic linear algebra is all you need. Integrals/differentials and PDE's are mentioned in the second chapter to describe some functions but that's about it. However, it is important to understand the concepts early and sequentially as the topics build upon each other. For my case, one chapter takes about six hours total to read. The exercises are reasonable and emphasize the important concepts. It took me about 30 min to answer a reasonably challenging question. I would suggest buying the solutions manual to reduce your heartache or erase any doubts although be aware that not all exercises have a solutions in the manual.
8 of 8 people found the following review helpful.
good, careful with the problems
By alberto pezzani
The book is good (a mean....don't expect better quality than what you are paying, they have to make the book cheap somehow). Book was new, really thin paper, but the material is the same.
WARNING: Not all the problems are the same as in the original book. I've compared mine to others and some numbers are different and the order of problems sometimes also change
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