Design and Analysis of Experiments
Design and Analysis of Experiments
Design and Analysis of Experiments
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Price: $169.00 FREE for Members
Type: eBook
Publisher: Wiley
Page Count: 680
Format: pdf
Language: English
ISBN-10: 0470128666
ISBN-13: 9780470128664
User Rating: 3.3333 out of 5 Stars! (3 Votes)

Design and Analysis of Experiments download


Douglas C. Montgomery free


Master the experimental techniques that achieve optimal performance.

Design and Analysis of Experiments has been a foundational work for students and professionals needing to design, conduct, and analyze experiments for optimizing performance in products and processes.

Seventh Edition shows you how to use statistically designed experiments to:Obtain information for characterization and optimization of systemsImprove manufacturing processesDesign and develop new processes and productsEvaluate material alternatives in product designImprove the field performance, reliability, and manufacturing aspects of productsLearn how to conduct experiments effectively and efficiently

About the Author Douglas C. Montgomery, Regents' Professor of Industrial Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering. From 1969 to 1984, he was a faculty member of the School of Industrial & Systems Engineering at the Georgia Institute of Technology; from 1984 to 1988, he was at the University of Washington, where he held the John M. Fluke Distinguished chair of Manufacturing Engineering, was Professor of Mechanical Engineering, and Director of the Program in industrial Engineering. He has authored and coauthored many technical papers as well as twelve other books. Dr. Montgomery is a Stewart Medalist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award(twice) from the ASQ.

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| 2 out of 5 Stars!


Doug knows his stuff, but his development relies too heavily on symbols. Symbols don't mean much to most people. I've been a teacher long enough to know that a picture is worth a thousand equations. And not just one picture, but many pictures that actually illustrate the meaning of the symbols. If you use this book, just ask people to translate into pictures all the symbols,and they'll all be confused because they don't actually know what the symbols represent. This is the kind of book that will reduce you to a robot. For example, if you want to truly understand complex analysis, you should read Visual Complex Analysis by Tristan Needham. If you're accustomed to pushing symbols around on a piece of paper like a robot, Needham's book will show you what true understanding is. For example, when blocking, why not show a scatter plot with the points in the same block actually enclosed together so people can see what blocking means in terms of a diagram? Or when blocking with 2 variables, whey not show the blocked output more or less lying on the same plane? No imagination! Apply the logic of Needham's book to this one and you'll develop a true understanding of this subject. Sorry, Doug, I've seen too many people push symbols around without real comprehension of their meaning, and this book just contributes to this regrettable state of scientific education. There is a book by George Cobb that is far more insightful than this one, and, of course, the one by Box is far superior.

| 5 out of 5 Stars!


Design of Experiments is probably the single most important process improvement tool available. Most engineers think they understand experimental methods, and most six sigma black belts believe they understand process improvement, but without a thorough understanding of DOE, their skills are a mirage. First, DOE is a complicated method, built on many statistical foundations. Don't think you can get by with just a cursory view of the subject, and trying to understand the concepts without the proper statistical background will be difficult, although some calculus in shown, it definitely is not needed. That said, everything you need to know is in this book. The examples are simple, the calculations are easy to follow and manually repeat, and they progressively take you to more difficult concepts. The text is very well written, but this is one of those subjects which requires you to read and re-read concepts to get a full understanding. I also recommend the solutions manual with does an excellent job of showing additional examples, but you will need Minitab or Design Expert to fully appreciate them (manual calculations quickly become impossible). If you have heard about DOE and just want an overview, just do a search on-line. If you are charged with any aspect of process improvement, study this book! If you are a grad student, and this is a required text, make sure to work the examples and end of chapter problems. The concepts, after a little effort, are actually easy to understand, but they support and build on each other. If you put in the effort, this could be the most practical and valuable course you have ever taken.

| 3 out of 5 Stars!


you'll probably need to keep another stats book on-hand because this leaves out a lot of material. The majority of distributions other than the main 4 are excluded with no mention. Not too many examples, but there are a lot of problems at the end of each chapter (no answers, unless you buy the solutions manual, but that doesn't have very many and the work shown is very minimal).

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