為使修習者熟習線性模型之理論與應用技巧，以強化使用線性模型方法如迴歸分析與實驗設計之能力。
預計講授內容包括下列話題﹕
(1). Review of linear algebra.
(2). Review of probability and statistics.
(3). Multivariate normal distribution.
(4). Distributions of quadratic forms.
(5). General linear model.
(6). Applications of the regression model.
(7). Other topics in fitting linear models.In order to enable practitioners to familiarize themselves with the theoretical and application techniques of linear models, they can enhance the ability to use linear model methods such as reproductive analysis and experimental design.
The intended teaching content includes the following questions:
(1). Review of linear algebra.
(2). Review of probability and statistics.
(3). Multivariate normal distribution.
(4). Distributions of quadratic forms.
(5). General linear model.
(6). Applications of the regression model.
(7). Other topics in fitting linear 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.
主要參考書籍為: Rencher and Schlaalje, 2008, Linear models in Statistics, 2nd Ed., 華泰。
The main reference books are: Rencher and Schlaalje, 2008, Linear models in Statistics, 2nd Ed., Huatai.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 作業作業 Action |
15 | |
| 小考小考 Small exam |
20 | 兩次 |
| 期中考期中考 Midterm exam |
20 | |
| 期末考期末考 Final exam |
25 |
