Design of comparative experiments

Table of contents:

1 - Forward look
2 - Unstructured experiments
3 - Simple treatment structure
4 - Blocking
5 - Factorial treatment structure
6 - Row–column designs
7 - Experiments on people and animals
8 - Small units inside large units
9 - More about Latin squares
10 - The calculus of factors
11 - Incomplete-block designs
12 - Factorial designs in incomplete blocks
13 - Fractional factorial designs
14 - Backward look

Design of Comparative Experiments develops a coherent framework for thinking about factors that affect experiments and their relationships, including the use of Hasse diagrams. These diagrams are used to elucidate structure, calculate degrees of freedom and allocate treatment sub-spaces to appropriate strata. Good design considers units and treatments first, and then allocates treatments to units. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses.This book should be on the shelf of every practicing statistician who designs experiments.