| |||||||||||||||
 Trade In this Item for up to £21.00
Get an extra £5 when you trade in books worth £10 or more until June 30, 2012. Trade in Design and Analysis of Experiments for an Amazon.co.uk gift card of up to £21.00, which you can then spend on millions of items across the site. Trade-in values may vary (terms apply). Find more products eligible for trade-in.
|
Frequently Bought Together
Product details
|
Product Description
Product Description
This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.
From the Back Cover
Master the experimental techniques that achieve optimal performance.
Across a wide range of fields—from industrial engineering to business and statistics—Douglas Montgomery’s 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.
Like its bestselling predecessors, the Seventh Edition shows you how to use statistically designed experiments to:
- Obtain information for characterization and optimization of systems
- Improve manufacturing processes
- Design and develop new processes and products
- Evaluate material alternatives in product design
- Improve the field performance, reliability, and manufacturing aspects of products
- Learn how to conduct experiments effectively and efficiently
Placing a strong focus on the use of the computer, the new edition makes much more use of optimal designs and includes even more software examples than before, taken from the three most dominant programs in the field: Minitab, Design–Expert V7, and JMP. You’ll also find additional material discussing the latest developments in robust design and factorial designs along with fresh examples and exercises that illustrate the use of designed experiments in service and transactional organizations.
Inside This Book
(Learn More)
Browse and search another edition of this book.
Browse and search another edition of this book.
Suggested Tags from Similar Products(What's this?)Be the first one to add a relevant tag (keyword that's strongly related to this product)
|
Sell a Digital Version of This Book in the Kindle Store
If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store.
Learn more
What Other Items Do Customers Buy After Viewing This Item?
Customer Reviews
There are no customer reviews yet on Amazon.co.uk.
5 star
4 star
3 star
2 star
1 star
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
11 reviews
6 of 6 people found the following review helpful
Design and Analysis of Experiments
25 Feb 2011
Format:Hardcover|Amazon Verified Purchase
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.
10 of 12 people found the following review helpful
Pretty good, but
5 Feb 2010
Format:Hardcover|Amazon Verified Purchase
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).
2 of 2 people found the following review helpful
Too Symbolic
13 Feb 2012
Format:Hardcover
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.
Were these reviews helpful?
Let us know
Listmania!
Look for similar items by category
- Books > Science & Nature > Engineering & Technology > Civil Engineering > Mechanics
- Books > Science & Nature > Engineering & Technology > Mechanical & Materials Engineering
- Books > Science & Nature > Engineering & Technology > Reference
- Books > Science & Nature > Mathematics > Reference
- Books > Science & Nature > Popular Science > Maths
- Books > Scientific, Technical & Medical
Look for similar items by subject
Feedback
- Would you like to update product info or give feedback on images?
- I am the Author, and I want to comment on my book.
- I am the Publisher, and I want to comment on this book.
|
