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An Introduction to Design of Experiments: A Simplified Approach, by Larry B. Barrentine
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Are you aware of how design of experiments can positively effect your work? Have you been avoiding DOE due to its mathematical structure? Now there is a tool that explains the basics of DOE with little mathematical know-how while maintaining statistical correctness. By minimizing DOE's mathematics in favor of a logical, structured approach, the author demonstrates that nearly anyone can adapt DOE to their needs. You'll find yourself working through the book in a step-by-step manner allowing you to immediately apply what you've learned to your own situation. Each procedure is illustrated by an example. Case studies and exercises guide you through the book to help you evaluate your understanding before moving ahead to another section. A glossary of common DOE terms is also included making this one of the most thorough, basic, introductions to this useful tool
- Sales Rank: #943946 in Books
- Brand: Brand: Amer Society for Quality
- Published on: 1999-01
- Original language: English
- Number of items: 1
- Dimensions: 11.25" h x 8.50" w x .50" l, .80 pounds
- Binding: Paperback
- 114 pages
- Used Book in Good Condition
Most helpful customer reviews
11 of 11 people found the following review helpful.
DOE step by step with examples
By James Guyette
DOE is the set of process improvement tools for studying more than one factor in a single experiment. The 92 page book is straight forward with many examples to show the methodology for setting up 2, 3 and up to 31 factor experiments which according to the author will cover >90% of the DOE requirements.
The workbook is filled with case studies and examples from manufacturing problems which guide you through the process and help evaluate your understanding before moving to the next section. The mathematical/statistical equations are a bit intimidating but these can be set-up in a spreadsheet. The author says that these DOE tools can be used on office or sales processes but never gives an example of one.
The value in this book is if you are doing a quality or six sigma project. Also, it will be of value if you are working in industries like chemical or mining, where yields are the key to success. The book shows the equations to use, the eight steps for analysis and the logical steps to creating an experiment. Additionally, it includes an appendix with T (95% confidence level) and F (degree of freedom) values which are necessary references if you attempt to do this without a statistical software package.
3 of 3 people found the following review helpful.
excellent for first time application
By Josh
I am conducting experiments with the the intent of optimizing output with 13+ control variables. I have an engineering degree, but we never covered design of experiments method. Prior to reading this book, I was attempting to guess theoretically what outcome I would expect, and then testing the theory. From experience, I knew the results wouldn't quite match up, so I was changing just one variable at a time - then it dawned on me there must be a better way. After some preliminary research, I realized the Plackett-Burman method was what I needed to apply. Most of the material I found too involved and would have required a great deal of time to process. This book had me understanding the method and its limitations after just a few days. It does not explain EVERYTHING - some information it just gives you and explains how to apply it. But that is the trade off to have a resource I was able to start producing meaningful results quickly. Some warnings: watch out for a few typos (especially in the formulas) - recommend doing all the examples to have a handle on the method. Definitely a beginners book for the statistically educated - it begs further research, but is an excellent start if you want to apply it quickly, but want to have SOME understanding as to how it works.
27 of 39 people found the following review helpful.
This book is headed in the right direction...
By A Customer
This is the second least complicated book I have ever read on DOE. Thanks Larry for writing the book! I wish that it had MANY more examples showing each DOE type he covers...Also, there is a need to FURTHER elaborate in simpler terms all of the concepts. I am still not understanding why a DOE book can't come out that isn't easy to read!
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