Customer Reviews

Understanding Design of Experiments: A Primer for Technologist (Progress in Polymer Processing)

5 star:		(4)
4 star:		(3)
3 star:		(0)
2 star:		(0)
1 star:		(3)

 

 

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.

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.

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.

This is not a book that you would want to read on a family vacation. It is a small textbook on DOE and a pretty good one at that. Before studying this text, I had a fairly good grasp of what disigned experiments are and had even used some DOE software. What I didn't know was what was going on behind the scenes in the software and how to choose the correct designs to accomplish my goals. This book filled in many of these basics for me.

DOE certainly is NOT an easy subject. This book is a great addition to the library of anyone wishing to really understand DOEs.

If you are a professional statician, this is probably not the book for you, but if you are looking for a book that explains design-of experiments (DOE) in PLAIN English, you will benefit greatly from this book. By glossing over the theory and getting down to practical applications, this author will have you doing meaningful DOE in a short time... and understanding why it works!

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.

The book starts out with nice explanations about averages, standard deviation, normal distribution, standard error, etc., that are very easy to follow and are a good set up for the basics of DOE. But then it just jumps right into full factoral designs, fractional designs, saturated designs, etc. without laying any good ground work to understand what the author is talking about; it basically goes from 0-60mph in ten pages. Plus the examples are not presented well and are confusing. I am a novice at DOE and would not recommend this book as a starting place; perhaps better for someone who already has some knowledge of DOE and wants to build further off a base.

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.

A mass of facts and data hardly comprehensible with bad explanations and exampes, in my view.

This was yet another difficult book on the design of experiments. After suffering my way through parts of the book, I finally realized that I hadn't learned anything. For those new to DOE, give a look at World Class Quality by Keki Bhote, or take a look at An Introduction to Design of Experiments: A Simplified Approach, by Larry Barrentine. DOE shouldn't be that difficult to understand! And, it isn't!