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Rating: 
Summary: Practical Application
Review: As a manufacturing engineer, I have performed rather complex DOEs. The benefit for me from this book has been a deeper understanding of the theoretical side of DOEs while aquiring excellent practical advice for executing them. I was also involved in a training seminar with Mr. Del Vecchio, and very impressed with his ability to teach a complex subject with a down to earth approach.
Rating: 
Summary: A fast track DOE (Design of Experiments) course:
Review: If the Experiment you are dealing with requires a statistical design and you're a novice to DOE, this would be an ideal book. The book explains the basic concepts of statistics with easily comprehendible examples. The chapters on factorial design are well organized and explained with hypothetical data. After reading this book you'll have a better understanding of factorial design jargons: confounding, interaction, linearity, factors, levels etc... This not a bulky book and you can finish reading it in one week.
Rating:
Summary: For technologists in a hurry
Review: Mr. DelVecchio's text is an excellent, easy to understand introductory design of experiments text. Mr. DelVecchio has an uncanny ability to explain even the most complex subjects in a way that the novice experimenter will be able to understand and comprehend. It is an easy to read book with many worked examples and with cautions on some of the pitfalls that may entrap the beginning experimenter. I would highly recommend this book to anyone who is looking for an introductory design of experiments text that's written in a language that doesn't require a resident statistician be present for interpretation.
Rating:
Summary: For technologists in a hurry
Review: Strikes a nice balance between theory and practice. Gives enough fundamentals to allow the reader to know the basics of what is going on with the analysis in designed experiments, but does not bog the reader down with complex equations that are best left to the user's computer software to crank through.Provides practical guidance in selecting one experimental design over another, and the appendix allows one to set up multi-variable experiments with pen and paper - if the software in your program of choice is weak in this area.
Rating:
Summary: Practical guide to a complex subject
Review: This book provides a simple, practical, easy to understand approach to a potentially confusing subject. It quickly brings the reader to the point where they are able to design and run basic designed experiments. It provides enough statistical background to facilitate the basic understanding necessary for success without bogging the reader down with unnecessary theory.
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