Download PDF Design and Analysis of Experiments, by Douglas C. Montgomery
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Design and Analysis of Experiments, by Douglas C. Montgomery
Download PDF Design and Analysis of Experiments, by Douglas C. Montgomery
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The eighth edition of this best selling text continues to help senior and graduate students in engineering, business, and statistics-as well as working practitioners-to design and analyze experiments for improving the quality, efficiency and performance of working systems.
The eighth edition of Design and Analysis of Experiments maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); new topics and problems in the area of response surface; new topics in nested and split-plot design; and the residual maximum likelihood method is now emphasized throughout the book.
Continuing to place a strong focus on the use of the computer, this edition includes software examples taken from the four most dominant programs in the field: Design-Expert, Minitab, JMP, and SAS.
- Sales Rank: #11901 in Books
- Brand: Montgomery, Douglas C.
- Published on: 2012-04-10
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.90" h x 1.00" w x 8.10" l, 3.05 pounds
- Binding: Hardcover
- 752 pages
Most helpful customer reviews
26 of 26 people found the following review helpful.
Good text... but take the course
By Amazon Customer
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/
7 of 7 people found the following review helpful.
Clear and Thorough Textbook
By William J Jones
An excellent text that has greatly reinforced some course material that only provided a very preliminary exposure to design and analysis of experiments. With my initial course work, self-study of this text, and acquisition of a stats package (I'm using JMP) I'm now prepared to advocate the use of design of experiments for a test program in my workplace which I expect will provide a better answer for lower cost and time than our traditional approach of testing one threshold at a time to accept a developmental system. This text book was cited as a valuable resource in a July 2013 internal memo by the U.S. DoD Director of Operational Test and Evaluation which was another reason I chose this book from several alternative texts I'd researched.
6 of 6 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.
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