Statistical design is one of the fundamentals of our subject, being at the core of the growth of statistics during the previous century. This book covers the basic theoretical underpinnings. It describes the principles that drive good designs and good statistics.

Covers both theory and application of designs, from agriculture to microarrays Examples and Exercises taken from real experiments, with data on the web and illustrative R programs Theoretical details are contained in Technical Notes sections Includes supplementary material: sn.pub/extras

Autorentext

Inhalt
Basics.- Completely Randomized Designs.- Complete Block Designs.- Interlude: Assessing the Effects of Blocking.- Split Plot Designs.- Confounding in Blocks.