Download Design of Experiments: Statistical Principles of Research Design and Analysis, by Robert O. Kuehl
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Design of Experiments: Statistical Principles of Research Design and Analysis, by Robert O. Kuehl
Download Design of Experiments: Statistical Principles of Research Design and Analysis, by Robert O. Kuehl
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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.
- Sales Rank: #513492 in Books
- Brand: Kuehl, Robert O.
- Published on: 1999-08-13
- Original language: English
- Number of items: 1
- Dimensions: 9.58" h x 1.19" w x 7.62" l, 2.60 pounds
- Binding: Hardcover
- 688 pages
- Used Book in Good Condition
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.
Most helpful customer reviews
34 of 37 people found the following review helpful.
Statistics text for people who understand statistics
By A Customer
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.
0 of 0 people found the following review helpful.
Very sound experimental design & analysis reference.
By HardBellSound
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.
0 of 0 people found the following review helpful.
Statistics
By Sarah E.
This book is great for that 400 level stats class. Especially when its required reading! Clearly states the model for each form of the ANOVA.
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