Statistical Experimental Design

STAT 424 Fall 2021

Kris Sankaran (University of Wisconsin-Madison)

The official syllabus, which gives requirements, learning objectives, and grading mechanisms, is available here. This website only includes links to the reading and lecture content – the course structure is mapped out fully on the Canvas homepage.

Readings

Readings refer to the 10th edition1 of Design and Analysis of Experiments by Douglas Montgomery

Week Topic Reading
1
Basic principles & examples 1.1 - 1.4
2
Sampling distributions, difference in means, pairing 2.1 - 2.5
3
ANOVA, model checking, multiple comparisons 3.1 - 3.5
4
Computer examples, random effects, nonparametric approaches 3.6 - 3.11 (except 3.10)
5
Randomized complete block design, Latin Squares design 4.1 - 4.3
6
Balanced incomplete block designs, and Factorial Design Intro 4.4.1, 5.1 - 5.2
7
Two and general factorial design, intro to response curves 5.3 - 5.5
8
Intro to \(2^k\) designs 6.1 - 6.4
9
Examples of \(2^k\) designs 6.5 - 6.6
10
Properties of \(2^k\) designs, fractional factorial designs 6.7 - 6.9, 8.1 - 8.2
11
More fractional factorial designs 8.3 - 8.7 (except 8.5)
12
Response surfaces 11.1 - 11.4.2
13
More response surfaces 11.4.3 - 11.6
14
Nested and split plot designs 14.1 - 14.4

Lectures

Notes are listed here. Source code and links to recorded videos are listed at the top of each set of lecture notes.


  1. You may use any edition in this course. For reference, here is the 10th edition’s table of contents.↩︎