Variations on Split Plot and Split Block Experiment Designs, 1st Edition
$336.69
- Hardcover
288 pages
- Release Date
3 January 2007
Summary
A complete and up-to-date discussion of optimal split plot and split block designs Variations on Split Plot and Split Block Experiment Designs provides a comprehensive treatment of the design and analysis of two types of trials that are extremely popular in practice and play an integral part in the screening of applied experimental designs–split plot and split block experiments. Illustrated with numerous examples, this book presents a theoretical background and provides two and three error t…
Book Details
| ISBN-13: | 9780470081495 |
|---|---|
| ISBN-10: | 047008149X |
| Author: | Walter T. Federer, Freedom King |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | Wiley-Interscience |
| Format: | Hardcover |
| Number of Pages: | 288 |
| Edition: | 1st |
| Release Date: | 3 January 2007 |
| Weight: | 526g |
| Dimensions: | 240mm x 164mm x 20mm |
| Series: | Wiley Series in Probability and Statistics |
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What They're Saying
Critics Review
“Variations on Split Plot and Split Block Experiment Designs reminds me of the classics of design literature, because it contains a plethora of examples of different situations. This structure lets the reader either find exactly what is needed, or something close to it, to build a suitable design. The examples are geared toward the agricultural statistician… As an industrial statistician, I am gratified to see the publication of this book.” (Technometrics, May 2010)
About The Author
Walter T. Federer
WALTER T. FEDERER, PHD, is Liberty Hyde Bailey Professor of Biological Statistics, Emeritus, at Cornell University. He has held numerous posts as editor, secretary, and president of various journals and societies, and he is also a Fellow or member of more than a dozen local, regional, national, and international associations. Dr. Federer received the Honor Alumnus Achievement Award and Honored Alumnus Award from Colorado State University and the Distinguished Service in Agriculture Award from Kansas State University.
FREEDOM KING, PHD, is Teaching Support Specialist in the Department of Biological Statistics and Computational Biology at Cornell University. His areas of interest include generalized linear mixed models, experimental designs, categoricaldata analysis, and statistical computing with an emphasis on work sales through SAS® programming techniques.
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