STAT8561 - Linear Statistical Analysis I
Preface
The topic of this course includes statistical inference, Multivariate normal distribution, distribution of quadratic forms, linear models, regression models and experimental design models.
Prerequisites
Math 4751/6751 Mathematical Statistics I and Math 4752/6752 Mathematics and Statistics II.
Instructor
Chi-Kuang Yeh, Assistant Professor in the Department of Mathematics and Statistics, Georgia State University.
- Office: Suite 1407, 25 Park Place.
- Email: cyeh@gsu.edu.
Office Hour
TBA
Grade Distribution
- TBA
Assignment
Exam
- TBA
Topics and Corresponding Lectures
Those chapters are based on the lecture notes. This part will be updated frequently.
| Status | Chapter | Topic | Lecture |
|---|---|---|---|
| ️⏳ | Ch. 1 | Welcome and Overview | 1 |
Recommended Textbooks
Montgomery, Douglas C., Elizabeth A. Peck, and G. Geoffrey Vining. Introduction to Linear Regression Analysis. John Wiley & Sons, 2021. (Montgomery et al. 2021)
Seber, George AF, and Alan J. Lee. Linear Regression Analysis. John Wiley & Sons, 2003. (Seber and Lee 2003)
Side Readings
- Montgomery, Douglas C. (2017). Design and Analysis of Experiments. John Wiley & Sons. (Montgomery 2017)