## S730: Theory Of Linear Models

### Class Description

Distribution theory, linear hypothesis, Gauss-Markov theorem, testing and confidence regions. Applications to regression and analysis of variance

### Class Information

**School/Department: **Statistics

**Semester(s): **Spring

**Website: **http://oncourse.iu.edu

**Capacity: ** 30

### Contact Information

**Instructor: **Chunfeng Huang - huang48@indiana.edu

**Other Contact(s): ** Chunfeng Huang - huang48@indiana.edu

### Other Details

**Algebra Required?: ** For proofs and homework.

**Calculus Required?: ** For derivations and homework

**Day(s) per week offered: ** Two lectures a week; no computer labs

**Recommended follow-up classes: ** Most other graduate level statistics courses

**Substantive Orientation: ** Statistics and Mathematics majors.

**Books used: ** Lecture notes; F. Graybill. 1976. Theory and Application of linear model.; N. Ravishnaker and K. Dey. 2002. A first course in linear model theory.

**Applied/Theoretical: ** Theoretical

**Software Used: **
R, SAS

**How the software is used: ** Computation, programming and data analysis

**Problem Sets: ** Yes, proofs and derivations

**Data Analysis: ** Yes

**Presentations: ** Yes

**Exams: ** No

**Keywords: ** Theory of linear models