STAT 803: Experimental Design I
Instructor: Professor Wei-Yin Loh
Send email to: loh@stat.wisc.edu
Prerequisites
Knowledge of ANOVA and
regression
Required Text
Experiments:
Planning, Analysis, and Parameter Design
Optimization by C. F. J. Wu and M. Hamada,
Wiley
Syllabus
Two-level factorial
experiments
-
- Unreplicated complete factorials
- Blocked unreplicated complete
factorials
- Fractional factorials
- Blocked fractional factorials
Three-level factorial
experiments
-
- Complete factorials
- Blocked complete factorials
- Fractional factorials
- Blocked fractional factorials
Mixed-level factorial
experiments
-
- Mixed two and four-level
designs
- Mixed two and three-level designs
- r-level fractional factorials for r a
prime number
- Minimum aberration designs
Non-regular designs
-
- Construction of mixed-level orthogonal
arrays
- Plackett-Burman and Hall designs
- Partial and complex aliasing
- Bayesian variable selection for
experiments with complex aliasing
Response surface methodology
-
- Second-order designs
- Multiple responses
- Central composite designs
- Box-Behnken designs
- Uniform shell designs
Robust parameter designs
-
- Strategies for variation
reduction
- Signal-to-noise ratio
- Single arrays
- Cross arrays
- Performance measures for design
optimization
Grading
One 50-minute midterm exam, one
2-hour final exam, and a course
project
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This page last updated on Sep 4,
2002.