Regression and Analysis of Variance
Preface
1
Day 1 (June 3)
1.1
Welcome and preliminaries
1.2
Assignment 1
2
Day 2 (June 4)
2.1
Announcements
2.2
Intro to statistical modelling
3
Day 3 (June 5)
3.1
Announcements
3.2
Matrix algebra
3.3
Introduction to linear models
4
Day 4 (June 6)
4.1
Announcements
4.2
Introduction to linear models
4.3
Estimation
4.4
Loss function approach
5
Day 5 (June 7)
5.1
Announcements
5.2
Estimation
5.3
Loss function approach
6
Day 6 (June 10)
6.1
Announcements
6.2
Estimation
6.3
Loss function approach
7
Day 7 (June 11)
7.1
Announcements
7.2
Estimation
7.3
Loss function approach
8
Day 8 (June 12)
8.1
Announcements
8.2
Loss function approach
9
Day 9 (June 13)
9.1
Announcements
9.2
Loss function approach
9.3
Maximum Likelihood Estimation
10
Day 10 (June 14)
10.1
Announcements
11
Day 11 (June 17)
11.1
Announcements
11.2
Maximum Likelihood Estimation
11.3
Confidence intervals for paramters
12
Day 12 (June 18)
12.1
Announcements
12.2
Maximum Likelihood Estimation
12.3
Confidence intervals for paramters
13
Day 13 (June 20)
13.1
Announcements
13.2
Confidence intervals for derived quantities
14
Day 14 (June 21)
14.1
Announcements
14.2
Confidence intervals for derived quantities
14.3
Bootstrap confidence intervals
15
Day 15 (June 24)
15.1
Announcements
15.2
Confidence intervals for derived quantities
15.3
Bootstrap confidence intervals
15.4
Prediction
15.5
Intervals for predictions
16
Day 16 (June 25)
16.1
Announcements
16.2
Prediction
16.3
Intervals for predictions
17
Day 17 (June 26)
17.1
Announcements
18
Day 18 (June 27)
18.1
Announcements
18.2
Prediction
19
Day 19 (June 28)
19.1
Announcements
19.2
Regression and ANOVA
19.3
T-test
20
Day 20 (July 1)
20.1
Announcements
20.2
Regression and ANOVA
20.3
T-test
20.4
ANOVA/F-test
21
Day 21 (July 2)
21.1
Announcements
21.2
ANOVA/F-test
21.3
Model checking
22
Day 22 (July 3)
22.1
Announcements
23
Day 23 (July 8)
23.1
Announcements
23.2
ANOVA/F-test
24
Day 24 (July 9)
24.1
Announcements
24.2
Model checking
25
Day 25 (July 10)
25.1
Announcements
25.2
Model checking
25.3
Distributional assumptions
26
Day 26 (July 11)
26.1
Announcements
27
Day 27 (July 12)
27.1
Announcements
27.2
Distributional assumptions
27.3
Constant variance
28
Day 28 (July 15)
28.1
Announcements
28.2
Linear models for correlated errors
28.3
Collinearity
29
Day 28 (July 16)
29.1
Announcements
30
Day 29 (July 17)
30.1
Announcements
30.2
Collinearity
30.3
The coefficient of determination
31
Day 30 (July 18)
31.1
Announcements
31.2
Model selection
32
Day 31 (July 19)
32.1
Announcements
32.2
Model selection
32.3
Random effects
32.4
Generalized linear models
32.5
Transformations of the response
33
Day 32 (July 22)
33.1
Announcements
33.2
Random effects
33.3
Generalized linear models
34
Day 33 (July 23)
34.1
Announcements
34.2
Generalized linear models
35
Day 34 (July 24)
35.1
Announcements
35.2
Transformations of the response
36
Day 35 (July 25)
36.1
Announcements
36.2
Bayesian linear model
37
Day 36 (July 26)
37.1
Announcements
37.2
Regression trees
37.3
Random forest
37.4
Generalized additive model
37.5
Shrinkage methods
38
Assignment 1
39
Assignment 2
40
Assignment 2 (Guide)
41
Assignment 3
42
Assignment 3 (Guide)
43
Assignment 4
44
Final project
44.1
Grading Rubric
44.2
Examples of A and A+ quality work from a similar class
45
Peer review
46
Literature cited
Published with bookdown
Regression and Analysis of Variance
10
Day 10 (June 14)
10.1
Announcements
In-class workday