107年第2學期-1765 線性模型 課程資訊
評分方式
| 評分項目 | 配分比例 | 說明 |
|---|---|---|
| Quizzes | 40 | |
| Midterm | 30 | |
| Final | 30 |
選課分析
本課程名額為 70人，已有25 人選讀，尚餘名額45人。
登入後可進行最愛課程追蹤 [按此登入]。
教育目標
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
課程資訊
基本資料
選修課，學分數：0-3
上課時間：二/6,7,8[M119]
修課班級：統計系2-4
修課年級：年級以上
選課備註：A群組(102-104適用)
教師與教學助理
授課教師：蘇俊隆
大班TA或教學助理：尚無資料
Office HourOffice Hours : 二/9,10; 三/9,10
Location : 新管院 M434
授課大綱
授課大綱：開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
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
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