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Understanding Industrial Experimentation, by Donald J. Wheeler
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Here is a reader-friendly guide to the techniques needed for successful design of experiments. It begins with basic concepts and proceeds in a cumulative manner through the specialized techniques needed for effective application. Avoiding needless complexity, the concepts and techniques are clearly explained, allowing the reader to immediately use the tools to obtain understandable, useful, and easily communicated results. Topics include: Working with Variation, The Analysis of Means, The Concept of Analysis of Variance, Making Specific Comparisons Using Contrasts, Interaction Effects and Orthogonal Arrays, Getting More Out of Plackett-Burman Designs, Response Plots and ANOM Plots with Screening Designs, Quadratic Loss Function, Simple Ways of Minimizing the Average Loss Taguchi s Contributions
- Sales Rank: #1155433 in Books
- Brand: Brand: SPC PRESS (Statistical Process Control)
- Published on: 1990-06-13
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x 8.75" w x 1.25" l, 2.34 pounds
- Binding: Paperback
- 380 pages
- Used Book in Good Condition
About the Author
Dr. Donald J. Wheeler has been actively planting the seeds of transformation in companies and organizations around the world for over 25 years. His classes have been credited with being the essential element in turning companies around and taking them from red ink to black. In less spectacular ways his seminars have been the foundation for establishing learning cultures within many organizations in various industries. Unlike so many classes where the emphasis is upon techniques, Dr. Wheeler's classes go far beyond mere techniques to teaching the way of thinking needed to use those techniques effectively. He has worked with over 250 companies in chemical processing, health care, medical equipment, information technology, steel and aluminum production, agribusiness, food production and processing, electronics, pulp and paper processing, automotive suppliers, government agencies, and banking. Dr. Wheeler has taught over 1000 seminars in the USA, Canada, Mexico, England, Scotland, Ireland, Wales, Norway, Sweden, Finland, Germany, Belgium, Switzerland, Portugal, South Africa, Brazil and Malaysia. Over 60,000 students from the US and 32 countries on five continents have attended his seminars, which are held in Knoxville, Tennessee. Marketing research shows that word of mouth advertising brings in the majority of these students. We love it when our clients and students tell their friends and colleagues how good Dr. Wheeler's classes are! Along with his acclaimed seminars, Dr. Wheeler has also authored or coauthored twenty books which collectively form the definitive library for Discovery through Data Analysis. His books are being used throughout the US and in over 41 countries around the world. Dr. Wheeler has M.S. and Ph.D. degrees in Statistics from Southern Methodist University. He taught at the University of Tennessee for 12 years where he was an Associate Professor of Statistics. He is a Fellow both the American Statistical Association and the American Society for Quality, and he was an associate of Dr. W. Edwards Deming until his death in 1993. In short, Dr. Wheeler is the internationally recognized expert on Data Analysis and SPC. He has the knowledge, the experience, and the ability to communicate that knowledge and experience to others. For more information on Dr. Wheeler's books and seminars, contact SPC Press at 800-545-8602.
Most helpful customer reviews
9 of 9 people found the following review helpful.
Real World Industrial Experimentation
By Duartion
My first exposure to this superbly written text was in a Design of Experiments class given by a PhD in Applied Statistics. The text and lecturer combination was one of the few times I have been able to completely follow all of the statistical topics presented. 'Undertanding Industrial Experimentation' starts with the premise that not all of us are statisticians. The book first presents the concepts of 'variation' & 'mean', then builds the statistical analysis tools from there. I have used the concepts from this book, with great success, in numerous industrial applications. With easy to follow examples and well written text, any manufacturing/process engineer, with some mathematical training, can use this book to improve their manufacturing processes. The author says it best: "One of the most difficult things that a teacher must do is to look at his subject from the perspective of the student". I would say Mr. Wheeler has successfully accomplished his goal.
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