(1) Review of matrix algebra
(2) Quadratic forms
(3) Multivariate normal distributions
(4) The distribution of quadratic forms
(5) The general models
(6) Inferences of model parameters
(7) Various spcial cases and examples
(8) The Gauss Markov theorem
(9) Testing linear hypotheses
(10) Introduction to less than full rank models(1) Review of matrix algebra
(2) Quadratic forms
(3) Multivariate normal distributions
(4) The distribution of quadratic forms
(5) The general models
(6) Inferences of model parameters
(7) Various spcial cases and examples
(8) The Gauss Markov theorem
(9) Testing linear hypotheses
(10) Introduction to less than full rank models
為能使學生由線性代數與矩陣代數出發，習得統計主要應用線性模型，即迴歸分析與實驗設計模型之基本理論，與應用技巧，以強化使用線性模型方法及可能進一步活用的能力。
In order to enable students to develop from linear generations and matrix generations, they can obtain the statistically mainly applied linear models, that is, the basic theories and application techniques of reproducing the basic theories of analysis and experimental design models, so as to enhance the ability to use linear model methods and possible further use.
Linear modes in Statistics, A, V. Rencher and G. B. Schaalje, 2nd ed., Wiley-International
linear mode sin statistics, A, V. Re N car rand G. B. S poor a link e, 2 your credit limit., Wiley-international
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| quiz 1quiz 1 quiz 1 |
20 | Do not miss the test |
| midtermmidterm midterm |
30 | Do not miss the test |
| quiz 2quiz 2 quiz 2 |
20 | Do not miss the test |
| finalfinal Final |
30 | Do not miss the test |
