Objective : Introduce some linear model theory that have been used for modern statisticians
Contents:
1. Matrix algebra
2. Random Vectors and Matrices
3. Multivariate Normal Distribution
4. Distribution of Quadratic Forms in y
5. Simple Linear Regression
6. Multiple Regression: Estimation
7. Multiple Regression: Tests of Hypotheses and Confidence Intervals
8. Multiple Regression: Model Validation and Diagnostics
9. Multiple Regression: Random x’s
10.Multiple Regression: Bayesian Inference
11.Analysis-of-Variance Models
12.One-Way Analysis-of-Variance: Balanced Case
13.Two-Way Analysis-of-Variance: Balanced Case
14.Analysis-of-Variance: The Cell Means Model for Unbalanced Data
15.Analysis-of-Covariance
16.Linear Mixed Models
Objective : Introduction some linear model theory that have been used for modern statistics
Contents:
1. Matrix algebra
2. Random Vectors and Matrices
3. Multivariate Normal Distribution
4. Distribution of Quadratic Forms in y
5. Simple Linear Regression
6. Multiple Regression: Estimation
7. Multiple Regression: Tests of Hypotheses and Confidence Intervals
8. Multiple Regression: Model Validation and Diagnostics
9. Multiple Regression: Random x’s
10.Multiple Regression: Bayesian Inference
11. Analysis-of-Variance Models
12.One-Way Analysis-of-Variance: Balanced Case
13.Two-Way Analysis-of-Variance: Balanced Case
14. Analysis-of-Variance: The Cell Means Model for Unbalanced Data
15. Analysis-of-Covariance
16.Linear Mixed Models
a. Linear Models in Statistics 2nd by Rencher, A.C. and Schaalje, G. B.
b. Plane Answers to Complex Questions: The Theory of Linear Models by Ronald Christensen
a. Linear Models in Statistics 2nd by Rencher, A.C. and Schaalje, G. B.
b. Plane Answers to Complex Questions: The Theory of Linear Models by Ronald Christensen
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Class Attenance and QuizzesClass Attenance and Quizzes class ATT E South Side and quizzes |
30 | |
| MidtermMidterm midterm |
30 | |
| FinalFinal Final |
40 |
