Design of Experiments: Statistical Principles of Research Design and Analysis [Hardcover]

Robert O. Kuehl (Author)

Book Description

ISBN-10: 0534368344 | ISBN-13: 978-0534368340 | Publication Date: August 13, 1999 | Edition: 2

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.

Editorial Reviews

Review

The exercises are a great strength of the book. I think the difficulty level, the amount of real data, and the required computer usage are all on target.

I find the book well written, and useful in both a teaching context as well as a consulting one. I find his narrative style in the text, and development of mathematical structures in an appendix at the end of each chapter desirable from a teaching standpoint. The narrative text sets the stage for the mathematical treatment...Kuehl has put the right emphasis on the use of a computer.

Product Details

• Hardcover: 666 pages
• Publisher: Duxbury Press; 2 edition (August 13, 1999)
• Language: English
• ISBN-10: 0534368344
• ISBN-13: 978-0534368340
• Product Dimensions: 9.6 x 7.6 x 1.2 inches
• Shipping Weight: 2.7 pounds (View shipping rates and policies)
• Average Customer Review: 4.3 out of 5 stars  See all reviews (7 customer reviews)
• Amazon Best Sellers Rank: #112,444 in Books (See Top 100 in Books)
  • #88 in Books > Science & Math > Experiments, Instruments & Measurement > Methodology & Statistics

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Customer Reviews

Most Helpful Customer Reviews

25 of 28 people found the following review helpful:

3.0 out of 5 stars Statistics text for people who understand statistics, May 2, 2000

By A Customer

This review is from: Design of Experiments: Statistical Principles of Research Design and Analysis (Hardcover)

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.

3 of 5 people found the following review helpful:

2.0 out of 5 stars Poorly written, January 30, 2008

By 

CHEN Min "Andreas Chen" (Baltimore, MD) - See all my reviews
(REAL NAME)   

This review is from: Design of Experiments: Statistical Principles of Research Design and Analysis (Hardcover)

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.

1 of 5 people found the following review helpful:

5.0 out of 5 stars good statistic book, February 13, 2008

By 

Kasin Ransikarbum "TaH" (PA, USA) - See all my reviews
(REAL NAME)   

This review is from: Design of Experiments: Statistical Principles of Research Design and Analysis (Hardcover)

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.