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3 Reviews
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7 of 8 people found the following review helpful:
1.0 out of 5 stars
Skip this one if you want Practical DOE information!!,
By
This review is from: Design of Experiments in Quality Engineering (Hardcover)
If you are looking for a book that delivers countless pages of set-up forms and checklists than maybe this book is for you. It focuses mainly on the project management aspect and lightly skims actual DOE philosophy. If you are looking for a text that delivers real information about designed experiments and analysis of experiments there are many others out there that cover these FAR better.
1 of 1 people found the following review helpful:
5.0 out of 5 stars
Misses the point,
This review is from: Design of Experiments in Quality Engineering (Hardcover)
One of these reviewers misses the point entirely. The worst DOE's are designed by statisticians alone , the best are designed with subject matter experts AND a statistician. It is only those that have suffered the curse of an "expert only" and a "statistician only" that feel the way you do. The technical stuff is trivial, the expert matter is critical, which is what Luftig and Jordan are trying to put together, and to help the academics realize. There IS a process! Get the research question in focus, and go from there. Sounds like you have never actually approached a problem from a realistic point of view in your life (or ran any "real" experiments).
Mike ( creator and analyzer of more than more actual experiments than you can ever think of)
4.0 out of 5 stars
Great Practical Resource for Industrial Experimentation,
By Steven Ouellette (Longmont, CO USA) - See all my reviews
This review is from: Design of Experiments in Quality Engineering (Hardcover)
The previous reviewer missed the point...this book is not intended to be a book about what experimental design is. It is intended make it easy for the practitioner of industrial statistics to take all the fancy tools they have learned and use them in a real environment. The "endless checklists" are a redeeming feature, as they make industrial experimentation much easier by noting common pitfalls and doing a lot of the paperwork development for you. In my experience, the most common failure in the industrial application of statistics is not the use of the statistical tools, but in a failure of the logistics of the experiment. This book will help you avoid these issues.This book bridges the gap between knowing the statistical tools and applying them in real life. That said, the first edition of the book contains many egregious editing errors, so it is frustrating at times. |
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Design of Experiments in Quality Engineering by Jeffrey T. Luftig (Hardcover - November 1, 1997)
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