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R. O. Kuehl
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Design of Experiments : Statistical Principles of Research Design and Analysis: Statistical principles of research design and analysis Hardcover – 13 August 1999

by Robert Kuehl (Author)
4.2 4.2 out of 5 stars 17 ratings
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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.
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  1. Language
    English
  2. Publisher
    Brooks/Cole ISE
  3. Publication date
    13 August 1999
  4. Dimensions
    19.69 x 3.81 x 24.77 cm
  5. ISBN-10
    0534368344
  6. ISBN-13
    978-0534368340
  7. See all details
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Product details

  • Publisher ‏ : ‎ Brooks/Cole ISE; 2 edition (13 August 1999)
  • Language ‏ : ‎ English
  • ISBN-10 ‏ : ‎ 0534368344
  • ISBN-13 ‏ : ‎ 978-0534368340
  • Dimensions ‏ : ‎ 19.69 x 3.81 x 24.77 cm
  • Customer Reviews:
    4.2 4.2 out of 5 stars 17 ratings

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R. O. Kuehl

R. O. Kuehl

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Kathryn
5.0 out of 5 stars Good Textbook for Experimental Design
Reviewed in the United States on 30 September 2019
Verified Purchase
Good textbook and does a good job of explaining concepts. Homework problems have answers in the index, which I really appreciate. The homework problems are not worked out in detail, just the final answer is given.
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Stuart D Penning
5.0 out of 5 stars Good deal for the book.
Reviewed in the United States on 7 August 2021
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The book is in good condition and was good value for money.
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Helter Skelter
5.0 out of 5 stars fantastic book
Reviewed in the United States on 14 February 2012
Verified Purchase
Great book for people seriously thinking about a career in statistics. Its very insightful in the practices of modern statistical methods and it has plenty of examples to go by when designing an experiment. It also includes a few SAS programs to help the reader see real life applications of the concepts. I recommend this book to nurses, people in education and in the sciences.
One person found this helpful
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ML
3.0 out of 5 stars I thought I would give a critical review beyond "it's great" or "it's horrible" to help students like me know what to expect wit
Reviewed in the United States on 17 August 2016
Verified Purchase
Welcome to a graduate level text. Given the positive reviews, I had high expectations. Unfortunately, I started reading the text and reality set in. I thought I would give a critical review beyond "it's great" or "it's horrible" to help students like me know what to expect with this text.
The book expects you know some things: Make sure you have a working understanding of things like the General Linear Model; ANOVA; multiple regression; F, Chi-Square, etc. distributions; contrasts; orthogonality; Tukey, Bonfernoni, etc. tests; etc., etc. If you don't have this knowledge, you won't get past the 1st chapters.
The book presents concepts: If you are looking for a practical, how to, step by step approach, this is not the book for you. This book isn't too theoretical either. In a non-engaging manner, the author presents concepts without going through details that you might wish the author would but didn't flesh out. If you have to read this book, hopefully you have prior experience with DOEs or you will struggle to grasp what this author is talking about.
What I liked about the book: In some instances, the author sticks with the same examples for multiple chapters. I like the continuity this gives to the material. The problems at the end of the chapters are kept to a minimum, but maximize the concepts they are testing.
In the end, it is a book that if you are trying to get a Master's degree you will have to take on sooner or later. Hopefully you can add to the book a solid understanding of undergraduate statistics, actual experience performing DOEs, other books that take a different, more student friendly approach, and a good professor. If not, you are in for an uphill battle with this book alone. Good luck!
4 people found this helpful
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HardBellSound
5.0 out of 5 stars Very sound experimental design & analysis reference.
Reviewed in the United States on 28 March 2014
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Excellent ANOVA and BBD (Balanced Block Design) presentations with examples and many problems. The new edition has good overview chapter introductions and many in-context references for deeper investigations.
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