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Design of Experiments: Statistical Principles of Research Design and Analysis
Design of Experiments: Statistical Principles of Research Design and Analysis

Hardcover
Edition: 2
Author: Robert O. Kuehl
Publisher: Duxbury Press
Release Date: 1999-08-13
ISBN-10: 0534368344
ISBN-13: 9780534368340
List Price: $176.95
Average Customer Rating:
Score = 4.0 Score = 4.0 Score = 4.0 Score = 4.0 Score = 4.0
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Summaries and Customer Reviews are supplied by Amazon.com

Summary:
Robert Kuehl's DESIGN OF EXPERIMENTS, Second Edition, prepares students to design and analyze experiments that will help them succeed in the real world. Kuehl uses a large array of real data sets from a broad spectrum of scientific and technological fields. This approach provides realistic settings for conducting actual research projects. Next, he emphasizes the importance of developing a treatment design based on a research hypothesis as an initial step, then developing an experimental or observational study design that facilitates efficient data collection. In addition to a consistent focus on research design, Kuehl offers an interpretation for each analysis.

Customer Reviews
Average Customer Rating: Score = 4.0 Score = 4.0 Score = 4.0 Score = 4.0 Score = 4.0

Great book
Customer Rating:  Score = 5 Score = 5 Score = 5 Score = 5 Score = 5
This was a great book for the price. At the campus bookstore this book new was $180.00 and I bought it at Amazon.com for $66.00 including expiated shipping. It arrived on time and in great condition.

Thank you for your exceptional service
Customer Rating:  Score = 5 Score = 5 Score = 5 Score = 5 Score = 5
I recieved the item in less than a week after placing the order. In addition, the item was actually in better condition than the description indicated. I like this seller, If you are a smart online shopper, you will not think twice about making a purchase with him/her.

good statistic book
Customer Rating:  Score = 5 Score = 5 Score = 5 Score = 5 Score = 5
This book is very useful for new engineers who have to conduct researchs and interested in studying in deep for any other fields. Actually, not only engineers, but also other kinds of fileds of study are also recommended for statistical analysis, as well as design of experiments.

Poorly written
Customer Rating:  Score = 2 Score = 2 Score = 2 Score = 2 Score = 2
The language of this book is horrible. It's like a clumsy translation from some eastern European language, and sends you to sleep in 5 minutes.

Statistics text for people who understand statistics
Customer Rating:  Score = 3 Score = 3 Score = 3 Score = 3 Score = 3
Kuehl covers a lot of statistical designs, and provides great examples and practice problems. However, the book is not "user friendly" even for student who have had several semesters coursework in regression analysis. Also, the author tends to change his notation from chapter to chapter without telling the reader, thus creating great confusion. For example "r" or "k" could signify replicate. Some sections are poorly organized.

























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