Wei Lin @ PKU

00133110: Applied Regression Analysis

Course Description

This is an undergraduate-level course for students majoring in statistics, probability, or any other field where applied statistics plays an essential role. Methodology and theory for linear regression will be introduced, illustrated by examples and applications. Extensions and advanced topics, such as categorical predictors, polynomial regression, analysis of variance, weighted least squares, mixed models, transformations, regression diagnostics, variable selection, nonlinear regression, generalized linear models, and causal inference will be covered if time permits.

Syllabus

Lectures and Assignments

Week Date Topics References Assignments Notes
1 2/20 Introduction Seber & Lee Secs. 1.1–1.3
2/22 Random vectors, quadratic forms, moment generating functions Seber & Lee Secs. 1.4–1.6
2 2/27 Multivariate normal distribution Seber & Lee Secs. 2.1–2.3
3 3/5 Distribution of quadratic forms, least squares Seber & Lee Secs. 2.4, 3.1
3/7 Generalized inverse, properties of least squares Seber & Lee App. A.10, Secs. 3.2, 3.3 Seber & Lee 1a.1; 1b.2, 5; 1c.2; 1m.3, 5; 2a.1; 2b.8; 2c.2; 2d.2, 4; 2m.5, 8, 12; 3a.1, 6, 8; 3b.1, 4 Homework 1 due 3/19
4 3/12 Distribution theory, maximum likelihood, generalized least squares Seber & Lee Secs. 3.4, 3.5, 3.10
5 3/19 Adding predictors and cases Seber & Lee Secs. 3.7, 11.6 Seber & Lee 3c.1, 2; 3d.2; 3f.1, 4; 3g.1, 3; 3k.4, 5; 3misc.4, 9
3/21 F-tests in linear regression Seber & Lee Secs. 3.8, 4.1, 4.3
6 3/26 Likelihood ratio tests, multiple correlation coefficient Seber & Lee Secs. 4.2, 4.4 Seber & Lee 4a.5; 4b.3; 4c.1; 4m.1, 2, 4 Homework 2 due 4/2
7 4/2 Goodness-of-fit tests, simultaneous confidence intervals Seber & Lee Secs. 4.6, 5.1
4/4 No class
8 4/9 Prediction intervals and bands Seber & Lee Secs. 5.2, 5.3 Seber & Lee 5m.4, 5, 6
9 4/16 More examples on straight lines Seber & Lee Secs. 6.1, 6.4
4/18 Midterm exam
10 4/23
11 4/30 No class
5/2 No class
12 5/7
13 5/14
5/16
14 5/21
15 5/28
5/30
16 6/4
18 6/18 Final exam