Regression and Analysis of Variance
Preface
1
Day 1 (June 9)
1.1
Welcome and preliminaries
1.2
Assignment 1
2
Day 2 (June 10)
2.1
Announcements
2.2
Intro to statistical modelling
3
Day 3 (June 11)
3.1
Announcements
3.2
Matrix algebra
4
Day 4 (June 12)
4.1
Announcements
4.2
Introduction to linear models
4.3
Estimation
4.4
Loss function approach
5
Day 5 (June 13)
5.1
Announcements
6
Day 6 (June 16)
6.1
Announcements
6.2
Estimation
6.3
Loss function approach
7
Day 7 (June 17)
7.1
Announcements
7.2
Estimation
8
Day 8 (June 18)
8.1
Announcements
8.2
Estimation
8.3
Maximum Likelihood Estimation
9
Day 9 (June 20)
9.1
Announcements
10
Day 10 (June 23)
10.1
Announcements
10.2
Estimation
10.3
Maximum Likelihood Estimation
11
Day 11 (June 24)
11.1
Announcements
11.2
Maximum Likelihood Estimation
12
Day 12 (June 25)
12.1
Announcements
13
Day 12 (June 26)
13.1
Announcements
13.2
Maximum Likelihood Estimation
13.3
Confidence intervals for paramters
14
Day 13 (June 27)
14.1
Announcements
14.2
Confidence intervals for paramters
14.3
Confidence intervals for derived quantities
15
Day 14 (June 30)
15.1
Announcements
15.2
Confidence intervals for paramters
15.3
Confidence intervals for derived quantities
16
Day 15 (July 1)
16.1
Announcements
16.2
Confidence intervals for derived quantities
16.3
Bootstrap confidence intervals
17
Day 16 (July 2)
17.1
Announcements
17.2
Confidence intervals for derived quantities
17.3
Bootstrap confidence intervals
17.4
Intervals for predictions
18
Day 17 (July 3)
18.1
Announcements
19
Day 18 (July 7)
19.1
Announcements
19.2
Bootstrap confidence intervals
19.3
Intervals for predictions
20
Day 19 (July 8)
20.1
Announcements
20.2
Prediction
20.3
Intervals for predictions
20.4
T-test
21
Day 20 (July 9)
21.1
Announcements
21.2
Prediction
21.3
T-test
21.4
ANOVA/F-test
22
Day 21 (July 10)
22.1
Announcements
23
Day 22 (July 11)
23.1
Announcements
23.2
T-test
23.3
ANOVA/F-test
23.4
Model checking
24
Day 23 (July 14)
24.1
Announcements
24.2
T-test
24.3
ANOVA/F-test
24.4
Model checking
24.5
Distributional assumptions
25
Day 24 (July 15)
25.1
Announcements
26
Day 25 (July 16)
26.1
Announcements
26.2
ANOVA/F-test
26.3
Model checking
26.4
Distributional assumptions
27
Day 26 (July 17)
27.1
Announcements
28
Day 27 (July 18)
28.1
Announcements
28.2
ANOVA/F-test
28.3
Model checking
28.4
Distributional assumptions
29
Day 28 (July 21)
29.1
Announcements
29.2
Model checking
29.3
Distributional assumptions
30
Day 29 (July 22)
30.1
Announcements
31
Day 30 (July 23)
31.1
Announcements
31.2
Distributional assumptions
32
Day 31 (July 24)
32.1
Announcements
33
Day 32 (July 25)
33.1
Announcements
33.2
Distributional assumptions
33.3
Constant variance
34
Day 33 (July 28)
34.1
Announcements
34.2
Constant variance
34.3
Collinearity
35
Day 34 (July 29)
35.1
Announcements
35.2
Collinearity
35.3
Random effects
35.4
Generalized linear models
36
Day 35 (July 30)
36.1
Announcements
36.2
Random effects
36.3
Generalized linear models
37
Day 36 (July 31)
37.1
Announcements
37.2
Generalized linear models
37.3
Regression trees
37.4
Random forest
37.5
Generalized additive model
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
18
Day 17 (July 3)
18.1
Announcements
Assignment 3 is graded and a guide is posted
If you would like to improve your grade, ask me how!
Assignment 4 is posted
Work day