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Stat 502
Design and analysis of experiments
Meeting times
Instructor
- Peter Hoff
- C-319 Padelford
- Office Hours: Tue 9:30-10:30, Thu 10:30-11:30 or by appointment.
- hoff at stat dot washington dot edu
Texts:
- Hoff, P., "Lecture notes"
- R Development Core Team, "An Introduction to R"
(html,
pdf ).
- Montgomery, D., "Design and Analysis of experiments" (any edition,
recommended but not required).
Computing:
The supported software for 502 is the
R statistical environment.
R code will be provided for most of the in-class
data analysis examples.
Approximate schedule:
Week 1 : Experiments, test statistics, completely randomized
designs, significance testing
Week 2 : Review of normal theory tests and confidence intervals,
basic decision theory, power and sample size
Week 3 : Treatment effects model,
ANOVA
Week 4 : SS decomposition, geometric interpretation
Week 5 : Treatment comparisons, model diagnostics
Week 6 : Factorial treatment designs
Week 7 : ANOVA decomposition for the additive model
Week 8 : ANOVA for the interaction model, model comparison,
and normal-theory testing
Week 9 : Complete and incomplete block designs, Latin square designs
Week 10 : Fractional Factorial designs, aliasing, confounding,
resolution
Week 11 : Split plot designs, different size experimental units,
repeated measures
Coursework:
There will be
- about 7 or 8 regular homeworks,
- a midterm with take-home and in-class components,
- a final with take-home and in-class components.
Each one of these components will be worth about the same amount.
Late policy:
Each turned in item receives an initial grade of
x, then the actual grade is y=x exp(-d/10), where d is
the number of working days after the due date I receive the work.
Everyone receives one grace day to be applied to
one homework for the entire quarter.
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