| Statistical Design 2008 Edition Contributor(s): Casella, George (Author) |
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ISBN: 0387759646 ISBN-13: 9780387759647 Publisher: Springer OUR PRICE: $151.99 Product Type: Hardcover - Other Formats Published: April 2008 Annotation: Statistical design is one of the fundamentals of our subject, being at the core of the growth of statistics during the previous century. Design played a key role in agricultural statistics and set down principles of good practic, principles that still apply today. Statistical design is all about understanding where the variance comes from, and making sure that is where the replication is. Indeed, it is probably correct to say that these principles are even more important today. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Science | Life Sciences - Genetics & Genomics - Science | Life Sciences - Botany |
| Dewey: 519.57 |
| Series: Springer Texts in Statistics |
| Physical Information: 0.8" H x 6.42" W x 9.27" (1.29 lbs) 336 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can easily provide an incorrect analysis. The goal of this book is to describe the principles that drive good design, paying attention to both the theoretical background and the problems arising from real experimental situations. Designs are motivated through actual experiments, ranging from the timeless agricultural randomized complete block, to microarray experiments, which naturally lead to split plot designs and balanced incomplete blocks. |
