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This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.
- Sales Rank: #514939 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2012-11-12
- Original language: English
- Number of items: 1
- Dimensions: 9.96" h x 1.34" w x 6.97" l, 2.90 pounds
- Binding: Hardcover
- 586 pages
- Used Book in Good Condition
Most helpful customer reviews
3 of 4 people found the following review helpful.
Covers Many Experimental Designs, but...
By Mary Guttieri
I like this book. It covers a wide array of experimental designs. But I wish that it used matrix notation more and summation notation less. I also wish that when statistical models are written, all of the parameters would be defined in the following paragraph. The book seems to set some conventions early, and then assumes that you have memorized them when you open a later chapter to learn about a design. So it can be a frustrating book to use in practice.
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