Understanding Industrial Experimentation


Understanding Industrial Experimentation

Understanding Industrial Experimentation

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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
Expert Advice
Donald J. Wheeler, Ph.D., is a consulting statistician who had the good fortune to work with W. Edwards Deming and David S. Chambers. Dr. Wheeler graduated from the University of Texas at Austin with bachelor's degrees in physics and mathematics, and has master's and doctorate degrees in statistics from Southern Methodist University. From 1970 to 1982 he taught in the statistics department at the University of Tennessee, Knoxville, where he was an associate professor. Between 1981 and 1993, he periodically assisted Dr. Deming with his four-day seminars. He is the author of more than 15 books and more than 60 articles. Dr. Wheeler is a fellow of the American Statistical Association.

Details
ISBN:N/A
Pages:379 pages; softcover


Price: $55.00 


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