NATIONAL CHIAO TUNG UNIVERSITY

INSTITUTE OF STATISTICS

 

LINEAR MODELS

SPRING 2005

 

 

 


Instructor:

Guan-Hua Huang, Ph.D.

 

Office: 423 Assembly Building 1

 

Phone: 03-513-1334

 

Email: ghuang@stat.nctu.edu.tw

Class meetings:

Wednesday 9:00 am -12:00 pm at 406 Joint Education Hall

Office hours:

By appointment

Class website:

http://www.stat.nctu.edu.tw/subhtml/source/teachers/ghuang/course/linearmodels05/

 

Credit:

Three (3) credits

 

COURSE SUMMARY

 

The objects of his course are

 

Ÿ           To present a rigorous introduction to general linear model. 

Ÿ           To emphasize general linear models associated with design of experiments.

 

Topics include review of linear algebra and matrices, random vectors, multivariate normal distribution, generalized least squares, hypothesis testing, one-way ANOVA, nested models, higher order designs.

 

HANDOUTS AND TEXTBOOKS

 

Handouts corresponding to each lecture will be available on the class website before each class. There is no required textbook for this course. The Following book is recommended for further reading:

 

Franklin A. Graybill (2000). Theory and Application of the Linear Model. Duxbury Press.

 

PREREQUISITES

 

Students are expected to have background on undergraduate probability, mathematical statistics, and linear regression.

 

METHOD OF STUDENT EVALUATION

 

The course grade will be based on four homework assignments (40%), one midterm exam (25%), and one final exam (35%).

 

COURSE OUTLINE

 

Readings refer to: Franklin A. Graybill (2000). Theory and Application of the Linear Model.

 

Module

Topic

Reading

1

Introduction

Chapter 1, 2

2

Review of linear algebra and matrices

Chapter 1, 2

3

Random vectors

Chapter 2

4

The multivariate normal distribution and distributions of quadratic forms

Chapter 3, 4

5

Least squares estimation

Chapter 5

6

Properties of least squares estimates

Chapter 5

7

Design matrices of less than full rank

Chapter 5

8

Orthogonal structure in the design matrix

Chapter 6.1-6.2

9

Generalized least squares

Chapter 13.1-13.3

10

Estimable functions

Chapter 13.1-13.3

11

Hypothesis testing

Chapter 6.3-6.11

12

Simultaneous confidence intervals

Chapter 8.1-8.5, 9.1-9.5

13

Effects of departures from assumptions

No reading

14

Residuals and influence

No reading

15

Introduction to design and analysis of experiments

Chapter 13.1-13.2

16

One-way analysis of variance

Chapter 13, 15.1-15.2

17

Nested and higher order designs

Chapter 13, 15.1-15.2

18

Some more miscellaneous ANOVA topics

Chapter 14, 15