Contents of "Advanced Topics" section

This section builds on the basics of DOE described in the preceding
sections by adding brief or survey descriptions of a selection of
useful techniques. Subjects covered are:
 When classical designs don't work
 Computeraided designs
 DOptimal designs
 Repairing a design
 Optimizing a Process
 Single response case
 Path of steepest ascent
 Confidence region for search
path
 Choosing the step length
 Optimization when there is
adequate quadratic fit
 Effect of sampling error on
optimal solution
 Optimization subject to
experimental region constraints
 Multiple response case
 Path of steepest ascent
 Desirability function
approach
 Mathematical programming
approach
 Mixture designs
 Mixture screening designs
 Simplexlattice designs
 SimplexCentroid designs
 Constrained mixture designs
 Treating mixture and process
variables together
 Nested variation
 Taguchi designs
 John's 3/4 fractional factorial
designs
 Small composite designs
 An EDA approach to experimental
design
 Ordered data plot
 DOE scatter plot
 DOE mean plot
 Interaction effects matrix
plot
 Block plot
 DOE Youden plot
 Effects plot
 Halfnormal probability plot
 Cumulative residual standard
deviation plot
 DOE contour plot
